About this document

Finger-Knuckle Print Recognition Algorithm by venkatsrmv is a document available to read on EtoBox.

The document proposes a two-step algorithm for personal recognition using finger-knuckle-print (FKP) images. The first step uses adaptive histogram equalization to enhance contrast in FKP images. The second step extracts minutiae features from the enhanced images. Simulation results showed the proposed algorithm outperformed existing methods, with a false acceptance rate close to 0% and false recognition rates between 87.5-100%.

Author

venkatsrmv

Language

EN