Title :
Edge detection methods in palm-print identification
Author :
Akinsowon, O.A. ; Alese, B.K.
Author_Institution :
Comput. Sci. Dept., Fed. Univ. of Technol., Akure, Nigeria
Abstract :
Biometric recognition, or simply biometrics, refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. By using biometrics it is possible to confirm or establish an individual\´s identity based on "who she is", rather than by "what she possesses" (e.g., an ID card) or "what she remembers" (e.g., a password). Today, it is becoming more and more popular to use biometrics to identify people and authenticate them for access to secure areas and systems. Biometric has been getting more and more attention after the September 9/11 episode in America. It is a unique, measurable characteristic or trait of a human being for automatically recognizing or verifying identity. This paper spotlights biometric recognition as a key form of identification, one which is increasingly used in a wide range of applications made possible by advanced pattern recognition algorithms applied through powerful lCT.
Keywords :
edge detection; object recognition; palmprint recognition; physiology; authentication method; automatic identity verification; automatic recognition; behavioral characteristics; biometric recognition; edge detection method; measurable characteristic; palm print identification; pattern recognition algorithm; people identification; physiological characteristics; powerful lCT; Access control; Electromagnetics; Geometry; Physiology; Tin; Canny; Edge Detection; Prewitt; Sobel; biometrics; palm-vein;
Conference_Titel :
Internet Technology and Secured Transactions (ICITST), 2013 8th International Conference for
Conference_Location :
London
DOI :
10.1109/ICITST.2013.6750235