期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：3
页码：3159
DOI：10.15680/IJIRSET.2017.0603005
出版社：S&S Publications
摘要：In this paper, an effective biometric method based on hand geometry is presented for biometricidentification or verification systems. Feature vectors have been constructed from measurable hand geometrics such aslength, width and area of fingers. After low-pass filter input hand images for noise reduction, curvature of the shapes iscomputed. Then, the valleys of a hand are extracted for identification as feature vector. Twenty-four measurementfrom a hand shape geometry are used as effective features. Artificial neural network and k-nearest neighbors algorithmare used as classifiers for Identification. The experimental result reaches to the performance of 95.3% for neuralnetwork and 91.2% for k-nearest neighbors algorithm as correct recognition rates.
