期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：10
页码：8140-8145
DOI：10.15680/IJIRCCE.2018. 0610031
出版社：S&S Publications
摘要：The aim of present research work on palmprint authentication is to extract palmprint features and
classify the palmprint images using fuzzy logic to resolve different security aspects. Fuzzy logic is comparatively
efficient and advanced theory and widely used in the classification of remotely sensed images in recent times. A branch
of biometric, palmprint authentication is an emerging technology in recent years and have increased attention because
palmprint is unique, permanent, measurable characteristics having voluminous of the line features containing rich
features like, principle line, wrinkles, ridges, and minute points, it provides high standard security. In this paper we
discuss a method for feature extraction, identification (recognition) techniques of palmprints based on fuzzy logic
technique and some publically available databases. The method uses sub image based principle line feature extraction
technique for low resolution palmprint images. Image is divided into sub images and feature obtained from these
subimages are combined to generate a single feature vector for the palmprint image. This vector is provided as an input
to fuzzy inference system. IITD and PolyU databases were used for performing the testing on proposed system.
Experiments were carried to show the effectiveness of our proposed system has an accuracy of 89.76%.
