Publication Type : Conference Paper
Publisher : Springer
Source : Advances in Intelligent Systems and Computing
Url : https://link.springer.com/chapter/10.1007/978-981-13-6095-4_9
Campus : Coimbatore
Center : TIFAC CORE in Cyber Security
Department : TIFAC-CORE in Cyber Security
Year : 2019
Abstract : Biometric security is really important when it is the case of proving a individual’s identity. Fingerprint, iris, face, and gesture are the main biometric technologies. Fingerprint is the most convenient biometric which is used for proving an individual’s identity. Minutiae are said to be the unique representation of a fingerprint. There are different schemes in the literature for efficient storage of minutiae. Recently, a binary tree-based approach for efficient minutiae storage was proposed in the literature by removing the redundancies. We found out that the existence of redundancy in nearest neighborhood method reduces the efficiency. In this paper, we propose nearest neighborhood method by reducing redundancies for better efficiency. Comparative study of these proposed systems with existing scheme is done. As a result, we found out that, even though the complexity of algorithm is high, storage will be efficient.
Cite this Research Publication : Anjana, K., Praveen, K., et al., Variant of Nearest Neighborhood Fingerprint Storage System by Reducing Redundancies, Intelligent Systems, Technologies and Applications 2019, Advances in Intelligent Systems and Computing, Springer.