期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2014
卷号：4
期号：2
页码：85-89
出版社：International Journal of Soft Computing & Engineering
摘要：The current investigation presents an algorithm and software to detect and recognize pre-printed mizo character symbol images. Four types of mizo fonts were under investigation namely – Arial, Tohoma, Cambria, and New Times Roman. The approach involves scanning the document, preprocessing, segmentation, feature extraction, classification & recognition and post processing. The multilayer perceptron neural network is used for classification and recognition algorithm which is simple and easy to implement for better results. In this work, Unicode encoding technique is applied for recognition of mizo characters as the ASCII code cannot represent all the mizo characters especially the characters with circumflex and dot at the bottom. The experimental results are quite satisfactory for implementation of mizo character recognition system.
关键词：Character Recognition; Neural Network;Multi-Layer Perceptron; and Unicode
