BI-MODAL PALM PRINT AND KNUCKLE PRINT RECOGNITION SYSTEM
نویسندگان
چکیده
منابع مشابه
A Review on Palm Print Recognition System
Biometrics based authentication and recognition system helps to identify individuals based on various behavior and physical characteristics, which can be used for their unique personal identifications. Various physical characteristics like iris patterns, facial features, fingerprint patterns, retina patterns, palmprint patterns etc. are utilized for such identification purposes, Palm print reco...
متن کاملFinger Knuckle Print Recognition Techniques-A Survey
-----------------------------------------------------------ABSTRACT----------------------------------------------------------Biometric traits are now highly explored by researchers to establish a system that can be used to accurately identify a person. Personal identification based on biometric features is becoming more popular these days because it is more reliable than traditional methods and...
متن کاملBiometric Parameters and Palm Print Recognition
A. Ross, K. Nandakumar, and A. K. Jain, Handbook of Multibiometrics. Springer Verlag, 2006 A. K. Jain, S. Pankanti, S. Prabhakar, L. Hong, A. Ross, and J. L. Wayman, Biometrics: A Grand Challenge, Proc. ICPR, vol. II, UK, pp. 935-942, 2004. A. K. Jain, A. Ross, and S. Pankanti, Biometrics: A Tool for Information Security, IEEE Trans. on Information Forensics and Security, vol. 1, no. 2, pp. 125...
متن کاملFinger Knuckle Print Recognition with Sift and K-means Algorithm
In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. Biometrics is a powerful and unique tool based on the anatomical and behavioral characteristics of the human beings in order to prove their authentication. This paper proposes a novel recognition methodology of biometrics named as Finger Knuckle print (FKP). Hence this pap...
متن کاملFinger Knuckle Print Based Authentication
-In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Pattern, which enhances the information as each pixel is represented as a binary LDP code. The Finger-Knuckle-Print is divided into smaller areas and LDP histograms are extracted from...
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ژورنال
عنوان ژورنال: Journal of IT in Asia
سال: 2016
ISSN: 1823-5042
DOI: 10.33736/jita.37.2010