A Component-Based Approach to Hand Verification

This paper describes a novel hand-based verification system based on palm-finger segmentation and fusion. The proposed system operates on 2D hand images acquired by placing the hand on a planar lighting table without any guidance pegs. The segmentation of the palm and the fingers is performed without requiring the extraction of any landmark points on the hand. First, the hand is segmented from the forearm using a robust, iterative methodology based on morphological operators. Then, the hand is segmented into six regions corresponding to the palm and the fingers using morphological operators again. The geometry of each component of the hand is represented using high order Zernike moments which are computed using an efficient methodology. Finally, verification is performed by fusing information from different parts of the hand. The proposed system has been evaluated on a database of 101 subjects illustrating high accuracy and robustness. Comparisons with competitive approaches that use ...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Gholamreza Amayeh, George Bebis, Ali Erol, Mircea Nicolescu
• Keywords: Computer Vision, CVPR 2007, Hand Images, Iterative Methodology, Morphological Operators, Order Zernike Moments, Planar Lighting Table