Shape and Texture based Palm Print Recognition System for Biometric identification
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Srushti Kureel, Praveen Kumar
|DOI : 10.14445/22315381/IJETT-V50P207|
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
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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Image Processing, biometric, texture, recognition, palmprint, fingerprint, authentication, Collectability, extraction.