Palm Print Recognition System - Review

Mohit Trehan, Nitin Bhagat

Abstract: 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

Keywords: palmprint acquisition, recognition, matching, distance metrics, feature extraction

How to Cite?: Mohit Trehan, Nitin Bhagat, "Palm Print Recognition System - Review", Volume 3 Issue 11, November 2014, International Journal of Science and Research (IJSR), Pages: 2810-2813, https://www.ijsr.net/getabstract.php?paperid=SUB1444, DOI: https://dx.doi.org/10.21275/SUB1444