Peg-free human hand shape analysis and recognition

Abstract

This work addresses the problem of deformable hand shape recognition in biometric systems without positioning aids. We separate and recognize multiple rigid fingers. An elliptical model is introduced to represent fingers and accelerate the matching of them. Technically, our method bridges the traditional handcrafted-feature methods and the shape-distance methods. We have tested it using our 108-person-540-sample database with significantly increased positive recognition accuracy. © 2005 IEEE.