Title :
Palmprint recognition system based on gray level cooccurrence matrix
Author :
Caliskan, A. ; Ergen, B.
Abstract :
A biometric system provides automatic identification of individuals based on a unique feature or characteristic of the individuals. Palmprint biometric system has an important place among biometric identification systems because of its advantages. In this study, Gray Level Co-Occurence Matrix based palmprint recognition system which provides successful results for tissue type of image identifying has been proposed. Firstly, image coordinate system has been defined to facilitate image alignment for feature extraction. Then, region of interest is cropped from the palmprint images. The properties of the interested region have been determined using the developed system and it has been given to the classifier for recognition.
Keywords :
feature extraction; palmprint recognition; tissue engineering; automatic identification; biometric identification systems; feature extraction; gray level cooccurrence matrix; image alignment; image coordinate system; image identifying; palmprint biometric system; palmprint images; palmprint recognition system; tissue type; unique feature; Authentication; Biometrics (access control); Conferences; Feature extraction; Manganese; Pattern recognition; Signal processing; Biometric system; Gray Level Co-occurrence Matrix; Palmprint recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830357
