DOI 10.5281/zenodo.7116039 1446 | V17.I09 A NOVEL APPROACH FOR DORSAL HAND VEIN RECOGNITION BY USING HYBRID CANCELABLE BIOMETRIC AUTHENTICATION SYSTEM ANUP RITTI 1 and Dr. RAJAVARMAN.V.N 2 1 Research scholar, Department of Computer Science and Engineering, Dr. MGR Educational and Research Institute, Chennai, Tamilnadu, India. Email: anup.ritti66@gmail.com 2 Professor, Department of Computer Science and Engineering, Dr. MGR Educational and Research Institute, Chennai, Tamilnadu, India. Email: rajavarman.vn@drmgrdu.ac.in Abstract: Biometric based authentication systems are being prominently used everywhere. The biometric data, popularly known as a biometric template, is generally stored on the database server in its unprotected form. Unlike passwords, once compromised, biometric data can never be recovered. Cancelable and hybrid biometric cryptosystems are two techniques used to offer protection against the security and privacy challenges faced by users of biometric authentication systems. Various cancelable biometric techniques have been proposed to maintain user data security. A cancelable biometric framework is introduced to satisfy user data security and keeping the original biometric template safe away from intruders. Biometrics like fingerprints and retinas are very vulnerable at the moment. Contactless, and thus impossible to counterfeit, has made the dorsal vein pattern a hot topic these days. This pattern can provide another more reliable biometric that is already in use. Currently, both the academic community as well as sector are paying attention to the results of hand vein patterns towards biometric authentication. This article provides details on the methodology of finding and using important points during data analysis based on different parameters. We would be able to examine the reliability of biometrics by examining hand vein patterns using Cancelable and hybrid biometric authentication system. Index Terms: Biometrics, Privacy, Security, Hand vein, Cancelable biometrics 1) INTRODUCTION Biometric recognition has been improved speedily and is almost used in our life daily. The biometric techniques recognize and verify the unique features accurately, rapidly, and appropriately to control the entry process in dedicated systems or applications [1] –[3]. It is essential to control the access process and prevent intruders from compromising or recognizing the original templates. User Biometrics are divided into physical features and logical features [4], [5]. The unique physical features are defined as the face, iris, retina, palm print, and fingerprint, but the features, which are called logical or behavioural features, are measured by the behaviour of the body and its reaction against the different circumstances such as voice, signature, keystrokes pattern, and walking style. The person’s blood vessels network, known as hand veins, is the most noticeable part of the anatomy. The hand palm vein pattern classifies hand vein patterns. Just like twins do not have the same hand dorsal vein patterns, each individual’s hand dorsal vein patterns are unique.