期刊名称：Canadian Journal on Artificail Intelligence, Machin Learning and Pattern Recognition
出版年度：2010
卷号：1
期号：1
页码：1-6
出版社：AM Publishers Corporation Canada
摘要：This paper offers the problems of standard image signature generation and their standardizations for image recognition using Pulse Coupled Neural Network (PCNN). The aim of this research is to propose new technique for image signature using PCNN. This new technique is used for Arabic sign Language (ASL) static alphabets recognition. The new model mainly adds the continuity factor as a weight of the current pulse in signature generation process. This modification preserves the invariance property and enhances the feature selection for image recognition purposes.
