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AbstractCompression of compound records and images can be more cumbersome than the original information since they can be a mix of text, picture and graphics. The principle requirement of the compound record or images is the nature of the compressed data. In this paper, diverse procedures are used under block-based classification to distinguish the compound image segments. The segmentation process starts with separation of the entire image into blocks by spare decomposition technique in smooth blocks and non smooth blocks. Gray wolf-optimization based FCM (fuzzy C-means) algorithm is employed to segment background, text, graphics, images and overlap, which are then individually compressed using adaptive Huffman coding, embedded zero wavelet and H.264 coding techniques. Exploratory outcomes demonstrate that the proposed conspire expands compression ratio, enhances image quality and additionally limits computational complexity. The proposed method is implemented on the working platform of MATLAB.

Internet banking services must be more responsive towards security requirements. Now a days with the network world, the way for cybercrime is become easier for hacking purpose. Because of this reason, network security has become one of the biggest concerns of today security environment. While there is no doubt that Internet banking transaction must have layered safety towards protection threats, the vendors should technique protection issues as part of their provider services. And heard a lot about hackers and crackers ways to steal any logical password or pincode number character, crimes of ID cards or credit cards fraud or security breaches. In existing work, Identification can be processed to a username and is used to authorize access to a system. As usernames can be lost or stolen, it is necessary to validate that the intended user is really the person he or she claims to be – the authentication process. Biometric based totally authentication and identification structures are the new answers to deal with the issues of safety and privacy. The Face Recognition is the examine of physical or behavioral traits of individual used for the identification of individual. These biometric characteristics of a person include the various features like fingerprints, face, hand geometry, voice, and iris biometric device. Here implement real time secure authentication system using face biometrics for authorized the person for online banking system. The general objective of our project is to develop fully functional face recognition, verification system provide and understand the key aspects of these major technologies, social environmental system and performance aspects. And also provide multiparty access system to allow the multiple persons to access the same accounts by providing access privileges to original account holders. Experimental results show that the proposed system provide high level security in online transaction system than the existing traditional cryptography approach