文章基本信息

标题：Artificial Neural Network Based Optical Character Recognition
本地全文：下载
作者：Vivek Shrivastava ; Navdeep Sharma
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：5
页码：73
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Optical Character Recognition deals in recognition and classification of characters from an image. For therecognition to be accurate, certain topological and geometrical properties are calculated, based on whicha character is classified and recognized. Also, the Human psychology perceives characters by its overallshape and features such as strokes, curves, protrusions, enclosures etc. These properties, also calledFeatures are extracted from the image by means of spatial pixel-based calculation. A collection of suchfeatures, called Vectors, help in defining a character uniquely, by means of an Artificial Neural Networkthat uses these Feature Vectors.
关键词：Feature Extraction; Vector Generation; Correlation Coefficients; Artificial Neural Networks; Walsh;Hadamard Transform.