A Survey On Lossless Compression And Encryption Methods For Multi Biometric Traits

Abstract

This paper concentrates on comparative studying of existing lossless compression methods for biometric traits.The main contribution of this work is to provide a new approach which exploits the structura1 properties of fingerprint images to achieve higher lossless compression ratios and good qua1ity images. A natural result of this approach is that the original structural properties such as the number arid relative locations of ridge endings and bifurcations are well preserved i.e., they are not affected by reconstruction quality. They can be easily extracted from compressed data without reconstruction. Ten fingerprints and two iris images are been captured from their respective devices. Fingerprints are been preprocessed and then subjected to feature extraction process. In feature extraction process unwanted parts are removed. This process involves gray scale conversion, Resize, Histogram Equalization, canny edge detection. Compression is done to the output obtained from feature extraction module. Encryption is done to provide higher level security as data are used for authentication purpose.