Shape and Texture based Palm Print Recognition System for Biometric identification
Citation
Srushti Kureel, Praveen Kumar "Shape and Texture based Palm Print Recognition System for Biometric identification", International Journal of Engineering Trends and Technology (IJETT), V50(1),39-44 August 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Biometric systems are widely used in access control and security-based applications. The goal of the biometric system is to utilize physical and/or behavior characteristics to identify/verify the subject of interest. There are so many biometric systems that are based on physical and/or behavioral properties such as the face, iris, speech, keystroke, palmprint, retina, etc. Among these, the palmprint-based biometric system that has been investigated for over 15 years has demonstrated its applicability as a successful biometric modality. It shows a unique feature that can be obtained using texture features which are present due to the presence of palm creases, wrinkles, and ridges. Furthermore, the palmprints can be captured using low-cost sensors with a very low-resolution imaging.
In this paper we propose a novel scheme for palmprint recognition using a shape and Texture based feature analysis obtained from Statistical Image Features. The palmprint image is characterized by a rich set of features including principal lines, ridges, and wrinkles. Thus, the use of an appropriate texture descriptor scheme is expected to capture this information accurately.
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Keywords
Image Processing, biometric, texture, recognition, palmprint, fingerprint, authentication, Collectability, extraction.