Palm Print Recognition System - Review

This paper provides an overview of some current palmprint research. Palmprint recognition has been investigated over the past decade. Palmprint recognition has five stages palmprint acquisition, preprocessing, feature extraction, enrollment (database) and matching. Due to rich information in palmprint it became a powerful means in person identification. The major approach for palmprint recognition is to extract feature vectors corresponding to individual palm image and to perform matching based on some distance metrics. Palmprint recognition is a challenging problem mainly due to low quality of pattern, large nonlinear distortion between different impression of same palm and large image size, which makes feature extraction and matching computationally demanding