Palm Print and Palm Vein Biometric Authentication System
The modern computing technology has a huge dependence on biometrics to ensure strong personal authentication. The mode of this work is to increase accuracy with less data storage and providing high security authentication system using multimodal biometric
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Abstract The modern computing technology has a huge dependence on biometrics to ensure strong personal authentication. The mode of this work is to increase accuracy with less data storage and providing high security authentication system using multimodal biometrics. The proposed biometric system uses two modalities, palm print and palm vein. The preprocessing steps begin with image acquisition of palm print and palm vein images using visible and infrared radiations, respectively. From the acquired image, region of interest (ROI) is extracted. The extracted information is encrypted using encryption algorithms. By this method of encryption, after ROI extraction, the storage of data consumes less memory and also provides faster access to the information. The encrypted data of both modalities are fused using advanced biohashing algorithm. At the verification stage, the image acquired is subjected to ROI extraction, encryption and biohashing procedures. The biohash code is matched with the information in database using matching algorithms, providing fast and accurate output. This approach will be feasible and very effective in biometric field.
Keywords Biometrics Unimodal Multimodal Region of interest Encryption
J. Ajay Siddharth (&) A.P. Hari Prabha T.J. Srinivasan N. Lalithamani Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India e-mail: [email protected] A.P. Hari Prabha e-mail: [email protected] T.J. Srinivasan e-mail: [email protected] N. Lalithamani e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.S. Dash et al. (eds.), Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing 517, DOI 10.1007/978-981-10-3174-8_45
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1 Introduction Biometrics is the study of physical or behavioral characteristics of a person, in order to establish unique identity of an individual. There are many features such as face, iris, finger print, vein, hand geometry, voice, etc., that are used in biometrics. We have high uniqueness of physical characteristics which makes this field even more interesting. When a single feature alone is used to create an identity, then the system is called as unimodal biometric system. There are certain disadvantages in using unimodal system, like forging, creating fake identity, etc. In order to avoid this, a multimodal biometric system can be used, in which instead of using a single modality, the fusion of multiple features are used to create identity, which enhances the security. Biometrics has many advantages, it reduces the stress of memorizing passwords or carrying key cards around and also reduces administrative costs. Fusion at feature extraction level is most effective and hard to perform simultaneously (features collected from various identifiers must be independent and in same measurement scale, which would represent an identity in more discriminatin
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