DS theory based fingerprint classifier fusion with update rule to minimize training time

IEICE Electronics Express

Richa Singh²  Sanjay K. Singh¹  Mayank Vatsa²  Afzel Noore² 

[1] Institute of Engineering and Technology;West Virginia University

关键词: fingerprint recognition;    classifier fusion;    DS theory;   

DOI  :  10.1587/elex.3.429

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(7)Cited-By(3)This paper presents a novel fingerprint classifier fusion algorithm using Dempster-Shafer theory concomitant with update rule. The proposed algorithm accurately matches fingerprint evidences and also efficiently adapts to dynamically evolving database size without compromising accuracy or speed. We experimentally validate our approach using three fingerprint recognition algorithms based on minutiae, ridges, and image pattern features. The performance of our proposed algorithm is compared with these individual fingerprint algorithms and commonly used fusion algorithms. In all cases, the proposed Dempster Shafer theory with update rule outperforms existing algorithms even with partial fingerprint image. We also show that as the database size increases, the proposed algorithm is designed to operate on only the augmented data instead of the entire database, thereby reducing the training time without compromising the verification accuracy.

【 授权许可】

Unknown