Image Encryption Using ECC Elliptic Curve Cryptography | Image Encryption Using Matlab Project With Source Code

 ABSTRACT

            During the last decade information security has become the major issue. The encrypting and decrypting of the data has been widely investigated because the demand for the better encryption and decryption of the data is gradually increased for getting the better security for the communication between the devices more privately. The Image Encryption Decryption play a major role for the fulfillment for this demand. A lot of information is perceived when we observe an image. Images have become an inevitable source of information. Everyday we come across various image from various sources. When images are confidential and we want the image to be transferred safe and securely, cryptography comes into play. The cryptographic technique which we have implemented in this project is the Elliptic Curve Cryptography (ECC). Various study on ECC has concluded that the difficultly to solve an Elliptic Curve Discrete Logarithmic Problem is exponentially hard with respect to the key size used. This property makes ECC a very good choice for encryption/decryption process compared to other cryptographic techniques which are linearly difficult or sub exponentially difficult. This project is developed in matlab.

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Palmprint Recognition Using Matlab | Palmprint Classification Using Image Processing Final Year Major Project With Source Code

ABSTRACT

                 Palm  print  authentication  is  one  of  the  modern  bio-metric techniques, which employs the vein pattern  in  the  human palm  to  verify  the  person.  The merits  of  palm  vein  on classical  bio-metric  (e.g.  fingerprint,  iris,  face)  are  a  low risk  of  falsification,  difficulty  of  duplicated  and  stability. In  this  Project,  a  new  method  is  proposed  for  personal verification  based  on  palm  Print  features.  In  the propose method,  the  palm  vein  images  are  firstly  enhanced  and then  the  features  are extracted  by  using  bank  of  Gabor filters. Bio-metric   technology   refers   to   a pattern recognition system  which  depends  on  physical  or  behavioral  features for the  person  identification. This project is developed in matlab using image processing. Palmprint Classification Using Image Processing Final Year Major Project With Source Code.

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Fingerprint Recognition Using Matlab | Fingerprint Recognition Using Image Processing | Final Year Major Project With Source Code

ABSTRACT

        Recently, monitoring and security have become an essential and important affair because the number of counterfeiters and hacker are increased for the conventional methods like Personal Identification Number (PIN) and passwords. The traditional methods suffer from some type of contraventions and breaches for example the unauthorized user can arrive to important data in a dedicated system to delete, change, or even steal it. For averting whole these concerns; the modern community directs to more credibility methods recently utilize the biometric-technologies. Biometrics provides more secure way of person authentication, they are difficult to be stolen and replicated. Biometrics method can be depicted as an automate technique to recognize person automatically based on his or her behavioral and/or physiological features. This technology has possessed a big amount of concern and care for security in almost all aspects of our daily life since person cannot forget or lose their physiological features in the way that they might lose password or an identity card. Biometric technologies have been developed for automatic recognizing of human identity depending on person special biological features, such as face, Iris, speech and fingerprint. The online security of authentication systems is not only a substitution of secret codes and passwords, but it is also related to securing and monitoring the system in different level of potential applications. This project was analyzed and evaluation Uni-modal biometric system based on fingerprint identification system. This project is developed in matlab.

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Acne Disease Detection Using Convolutional Neural Network CNN In Image Processing | Acne Disease Classification Using Python Project With Source Code | Final Year Major Projects

ABSTRACT

          Acne is a chronic skin disease occurring from inflammation of pilosebaceous units which are hair follicles under skin and their surrounding sebaceous gland (fatty gland) clog up. Currently, dermatologist has to manually mark a location of acnes on the sheet, then count to quantify and measure treatment progress. This is an unreliable and inaccurate method. Moreover, this method requires dermatologist’s excessive effort. In this project, a novel automatic acne disease detection using Image processing technique is proposed. Acne causes significant physical and psychological problems for patients such as permanent scarring, depression and anxiety from poor self-image. When you have acnes, go to see dermatologist early is the safest way to heal and prevent future permanent scars. Acne can be caused by many factors such as overactive oil glands that produce too much oil, combine with skin cells to make pores in the skin, become plugged and p-acne bacteria cause acne disease. This project is developed in python.

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Real Time Face Recognition Using Image Processing | Real Time Face Recognition Using Matlab Project With Source Code | Final Year Major Projects

ABSTRACT

             The subject of face recognition is as old as computer vision because of the practical importance of the topic and theoretical interest from cognitive scientists. Despite the fact that other methods of identification (such as fingerprints, or iris scans) can be more accurate, face recognition has always remains a major focus of research because of its noninvasive nature and because it is people's primary method of person identification. This electronic document is about face detection. In computer literature face detection has been one of the most studied topics. Given an arbitrary image, the goal of this project is to determine real time face recognition. While this appears to be a trivial task for human beings, it is very challenging task for computers. The difficulty associated with face detection can be attributed to many variations in scale, location, view point, illumination, occlusions, etc. Although there have been hundreds of reports reported approaches for face detection, if one were asked to name a single face detection algorithm that has most impact in recent decades, it will most likely be the face detection, which is capable of processing images extremely rapidly and achieve high detection rates.

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Iris Recognition Using Image Processing | Iris Recognition Using Matlab Project Project With Source Code | IEEE Based Final Year Major Projects Codes

ABSTRACT

             This project presents an iris coding method for effective recognition of an individual. The recognition is performed based on a mathematical and computational method. It consists of calculating the differences coefficients of overlapped angular patches from the normalized iris image for the purpose of feature extraction. Iris recognition belongs to the biometric identification. Biometric identification is a technology that is used for the identification an individual based on ones physiological or behavioral characteristics. Iris is the strongest physiological feature for the recognition process because it offers most accurate and reliable results. Iris recognition process mainly involves three stages namely, iris image preprocessing, feature extraction and template matching. In the pre-processing step, iris localization algorithm is used to locate the inner and outer boundaries of the iris. Detected iris region is then normalized to a fixed size rectangular block. In the feature extraction step, texture analysis method is used to extract significant features from the normalized iris image. This project is developed in matlab.

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Image Encryption And Watermarking Using DWT Algorithm | Image Encryption And Watermarking Using Matlab Final Year Project Source Code

ABSTRACT

          The use of Internet technology has led to the availability of different multimedia data in various formats. The unapproved customers misuse multimedia information by conveying them on various web objections to acquire cash deceptively without the first copyright holder’s intervention. Due to the rise in cases of COVID-19, lots of patient information are leaked without their knowledge, so an intelligent technique is required to protect the integrity of patient data by placing an invisible signal known as a watermark on the medical images. In this project encryption and watermarking is proposed using discrete wavelet transform algorithm on both standard and medical images. The project addresses the use of digital rights management in medical field applications such as encrypting and embedding the watermark in medical images. The various quality parameters are used to figure out the evaluation of the developed method. This project is developed in matlab.

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Video Steganography Using Matlab Project With Source Code | Secret Key Based Video Steganography Using Matlab IEEE Based Major Project Code

ABSTRACT

            Information security has become the area of concern as a result of widespread use of communication medium over the internet. This project focuses on the data security approach when combined with encryption and steganography techniques for secret communication by hiding it inside the multimedia files. The high results are achieved by providing the security to data before transmitting it over the internet. The files such as images, audio, video contains collection of bits that can be further translated into images, audio and video. The files composed of insignificant bits or unused areas which can be used for overwriting of other data. This Project explains the proposed algorithm using video steganography for enhancing data security. The Steganography, Cryptography and Digital Watermarking techniques can be used to obtain security and privacy of data. The steganography is the art of hiding data inside another data such as cover medium by applying different steganography techniques. While cryptography results in making the data human unreadable form called as cipher thus cryptography is scrambling of messages. Whereas the steganography results in exploitation of human awareness so it remains unobserved and undetected or intact. It is possible to use all file medium, digital data, or files as a cover medium in steganography. Generally steganography technique is applied where the cryptography is ineffective.

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Prof. Roshan P. Helonde

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Image Watermarking Using DWT and DCT Matlab Project With Source Code | DWT DCT Based Image Watermarking Using Matlab Final Year Major Project

ABSTRACT

             The authenticity & copyright protection are two major problems in handling digital multimedia. The Image watermarking is most popular method for copyright protection by discrete Wavelet Transform (DWT) which performs 2 Level Decomposition of original (cover) image and watermark image is embedded in Lowest Level (LL) sub band of cover image. Inverse Discrete Wavelet Transform (IDWT) is used to recover original image from watermarked image. And Discrete Cosine Transform (DCT) which convert image into Blocks of M bits and then reconstruct using IDCT. In this project we have compared watermarking using DWT-DCT methods performance analysis on basis of PSNR, Similarity factor of watermark and recovered watermark. This project is developed in matlab.

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

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Palmprint Recognition Using Image Processing | Palmprint Classification Using Matlab Project With Source Code | Final Year Major Project

ABSTRACT

                 Palm  print  authentication  is  one  of  the  modern  bio-metric techniques, which employs the vein pattern  in  the  human palm  to  verify  the  person.  The merits  of  palm  vein  on classical  bio-metric  (e.g.  fingerprint,  iris,  face)  are  a  low risk  of  falsification,  difficulty  of  duplicated  and  stability. In  this  Project,  a  new  method  is  proposed  for  personal verification  based  on  palm  Print  features.  In  the propose method,  the  palm  vein  images  are  firstly  enhanced  and then  the  features  are extracted  by  using  bank  of  Gabor filters. Bio-metric   technology   refers   to   a pattern recognition system  which  depends  on  physical  or  behavioral  features for the  person  identification. This project is developed in matlab using image processing.

PROJECT OUTPUT

PROJECT DEMO VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com

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Currency Recognition Using Deep Learning CNN | Currency Classification Using Python Project With Source Code | Final Year Major Project

ABSTRACT

             The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. The appearance of the currency is part of this development and it is affected directly, where there is exploited in incorrect form by copying the currency in a manner similar to the reality. Therefore, it became necessary to implement a proposal for being a suitable as solution not inconsistent with the different cultures, time and place. This clear through add the watermarks inside currency, which is difficult to be copied. At the same time, this watermarks may be visible to the naked eye so can easily inferred or it is invisible. However the high resolution imaging devices can copy these additions. In this research, we have proposed a system to distinguish the currencies by the program that working a submission inferred to the watermark by feature extraction determined the type of currency. In addition to, it determined category of the currency. Benefit of it, is reducing as much as possible the spread of counterfeit currency and this system can be used by any user wants to make sure of the currency. This project is developed in python using deep learning cnn.

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Prof. Roshan P. Helonde

Mobile: +917276355704

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Visible Image Watermarking Using DWT Technique | Visible Image Watermarking Using Python Project With Source Code | Final Year Major Projects

ABSTRACT

           Digital watermarking is a technology for embedding various types of information in digital content. In general, information for protecting copyrights and proving the validity of data is embedded as a watermark. A digital watermark is a digital signal or pattern inserted into digital content. The digital content could be a still image, an audio clip, a video clip, a text document, or some form of digital data that the creator or owner would like to protect. The main purpose of the watermark is to identify who the owner of the digital data is, but it can also identify the intended recipient. The Image watermarking is most popular method for copyright protection by discrete Wavelet Transform which performs two level decomposition of original cover image and watermark image is embedded in lowest level sub band of cover image. Inverse Discrete Wavelet Transform is used to recover original image from watermarked image. This project is developed in python.

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

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Email: roshanphelonde@rediffmail.com

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Traffic Sign Recognition Using Deep Learning | Traffic Sign Classification Using Python Project With Source Code | Final Year Major Project Code

ABSTRACT

               Traffic sign recognition is an important but challenging task, especially for automated driving and driver assistance. Its accuracy depends on two aspects: feature exactor and classifier. Current popular algorithms mainly use deep learning cnn to execute feature extraction and classification. Such methods could achieve impressive results but usually on the basis of an extremely huge and complex network. What’s more, since the fully-connected layers in cnn form a classical neural network classifier, which is trained by conventional gradient descent-based implementations, the generalization ability is limited. The performance could be further improved if other favorable classifiers are used in python with accuracy of upto 98 %.

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Prof. Roshan P. Helonde

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Traffic Sign Detection Using Image Processing | Traffic Sign Recognition Using Matlab Project With Source Code | Final Year Project Code

ABSTRACT

               Traffic sign recognition is an important but challenging task, especially for automated driving and driver assistance. Its accuracy depends on two aspects: feature extractor and classifier. Current popular algorithms mainly use convolutional neural networks in image processing to execute feature extraction and classification. Such methods could achieve impressive results but usually on the basis of an extremely huge and complex network. What’s more, since the fully-connected layers in convolutional neural networks in image processing form a classical classifier, which is trained by conventional gradient descent-based implementations, the generalization ability is limited. The performance could be further improved if other favorable classifiers are used in matlab. The main objective of this project is to develop an algorithm so that we can automatically recognize traffic signs. This work uses basic image processing technique for automatically recognizing.

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Currency Recognition Using Deep Learning CNN | Currency Recognition Using Matlab Project With Source Code | Final Year Major Project

ABSTRACT

             The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. The appearance of the currency is part of this development and it is affected directly, where there is exploited in incorrect form by copying the currency in a manner similar to the reality. Therefore, it became necessary to implement a proposal for being a suitable as solution not inconsistent with the different cultures, time and place. This clear through add the watermarks inside currency, which is difficult to be copied. At the same time, this watermarks may be visible to the naked eye so can easily inferred or it is invisible. However the high resolution imaging devices can copy these additions. In this research, we have proposed a system to distinguish the currencies by the program that working a submission inferred to the watermark by feature extraction determined the type of currency. In addition to, it determined category of the currency. Benefit of it, is reducing as much as possible the spread of counterfeit currency and this system can be used by any user wants to make sure of the currency. This project is developed in matlab using deep learning cnn.

PROJECT OUTPUT

PROJECT DEMO VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +917276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Image Encryption and Decryption Using ECC Elliptic Curve Cryptography | Image Encryption Decryption Using Matlab Project With Source Code Major Project

ABSTRACT

            During the last decade information security has become the major issue. The encrypting and decrypting of the data has been widely investigated because the demand for the better encryption and decryption of the data is gradually increased for getting the better security for the communication between the devices more privately. The Image Encryption Decryption play a major role for the fulfillment for this demand. A lot of information is perceived when we observe an image. Images have become an inevitable source of information. Everyday we come across various image from various sources. When images are confidential and we want the image to be transferred safe and securely, cryptography comes into play. The cryptographic technique which we have implemented in this project is the Elliptic Curve Cryptography (ECC). Various study on ECC has concluded that the difficultly to solve an Elliptic Curve Discrete Logarithmic Problem is exponentially hard with respect to the key size used. This property makes ECC a very good choice for encryption/decryption process compared to other cryptographic techniques which are linearly difficult or sub exponentially difficult. This project is developed in matlab.

PROJECT OUTPUT

PROJECT DEMO VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Image Steganography Using Pixel Value Differencing PVD Algorithm | Image Steganography Using PVD Matlab Project With Source Code

 ABSTRACT

            Steganography is the one type of powerful technique which is science & art in which we have to write hidden messages, or we hide some important images, audio files, videos in this way that no-one, can find a hidden message which exists in cover images. Steganography is most strong techniques to mask the existence of unseen secret data within a cover object. Actually Stego means "Cover" graphy means "writing" that means It is nothing but we are hiding secret objects in cover image in which medium is different types of images. In practical feasible implementation practical approach would be to make the algorithm as strong as possible. In steganographic images are the most powerful objects that means cover objects, and therefore importance of image steganographic which can Embedding secret information inside images requires systematic computations. In this project, a PVD (Pixel value differencing) algorithm is used for Image Steganography in spatial domain. It is normalizing secret data value by encoding method to make the new pixel edge difference less among three neighbors (horizontal, vertical and diagonal) and embedding data only to less intensity pixel difference areas or regions. This algorithm shows a good improvement for input images compared to other algorithms. The strength of this scheme is that any random hidden/secret data do not make any shuttle differences to Steg-image compared to original image. The project results show as given below. This project is developed in Matlab.

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Prof. Roshan P. Helonde

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Secret Key Based Video Steganography Using Matlab Project With Source Code Final Year IEEE Based Project

ABSTRACT

            Information security has become the area of concern as a result of widespread use of communication medium over the internet. This project focuses on the data security approach when combined with encryption and steganography techniques for secret communication by hiding it inside the multimedia files. The high results are achieved by providing the security to data before transmitting it over the internet. The files such as images, audio, video contains collection of bits that can be further translated into images, audio and video. The files composed of insignificant bits or unused areas which can be used for overwriting of other data. This Project explains the proposed algorithm using video steganography for enhancing data security. The Steganography, Cryptography and Digital Watermarking techniques can be used to obtain security and privacy of data. The steganography is the art of hiding data inside another data such as cover medium by applying different steganography techniques. While cryptography results in making the data human unreadable form called as cipher thus cryptography is scrambling of messages. Whereas the steganography results in exploitation of human awareness so it remains unobserved and undetected or intact. It is possible to use all file medium, digital data, or files as a cover medium in steganography. Generally steganography technique is applied where the cryptography is ineffective. This project is developed in matlab.

PROJECT OUTPUT

PROJECT DEMO VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Lossless Image Compression Using Huffman Coding | Image Compression Using Matlab Project With Source Code

  ABSTRACT

            The lossless compression is that allows the original data to be perfectly reconstructed from the compressed data. Lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that probable. The main objective of image compression is to decrease the redundancy of the image data which helps in increasing the capacity of storage and efficient transmission. Image compression aids in decreasing the size in bytes of a digital image without degrading the quality of the image to an undesirable level. Image compression plays an important role in computer storage and transmission. The purpose of data compression is that we can reduce the size of data to save storage and reduce time for transmission. Image compression is a result of applying data compression to the digital image.

PROJECT OUTPUT

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Facial Expression Emotion Recognition Using Image Processing In Matlab Project With Source Code Final Year Project

 ABSTRACT

            This project objective is to introduce needs and applications of facial expression recognition. Between Verbal & Non-Verbal form of communication facial expression is form of non-verbal communication but it plays pivotal role. It express human perspective or filling & his or her mental situation. A big research has been addressed to enhance Human Computer Interaction (HCI) over two decades. This project includes introduction of facial emotion recognition system, Application, comparative study of popular face expression recognition techniques & phases of automatic facial expression recognition system. Emotional aspects have huge impact on Social intelligence like communication understanding, decision making and also helps in understanding behavioral aspect of human. Emotion play pivotal role during communication. Emotion recognition is carried out in diverse way, it may be verbal or non-verbal .Voice (Audible) is verbal form of communication & Facial expression, action, body postures and gesture is non-verbal form of communication. While communicating only 7% effect of message is contributes by verbal part as a whole, 38% by vocal part and 55% effect of the speaker’s message is contributed by facial expression. For that reason automated & real time facial expression would play important role in human and machine interaction. Facial expression recognition would be useful from human facilities to clinical practices. Analysis of facial expression plays fundamental roles for applications which are based on emotion recognition like Human Computer Interaction (HCI), Social Robot, Animation, Alert System & Pain monitoring for patients. This project is developed in matlab.

PROJECT OUTPUT

PROJECT DEMO VIDEO

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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