文章基本信息

标题：Signature recognition using neural network probabilistic
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作者：Heri Nurdiyanto ; Hermanto Hermanto
期刊名称：IJAIN (International Journal of Advances in Intelligent Informatics)
印刷版ISSN：2442-6571
电子版ISSN：2548-3161
出版年度：2016
卷号：2
期号：1
页码：46-53
DOI：10.26555/ijain.v2i1.53
语种：English
出版社：Universitas Ahmad Dahlan
摘要：The signature of each person is different and has unique characteristics. Thus, this paper discusses the development of a personal identification system based on it is unique digital signature. The process of preprocessing used gray scale method, while Shannon Entropy and Probabilistic Neural Network are used respectively for feature extraction and identification. This study uses five signature types with five signatures in every type. While the test results compared to actual data compared to real data, the proposed system performance was only 40%.
关键词：probabilistic neural network;entropy;identification of signatures