期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：2
页码：1766
DOI：10.15680/IJIRCCE.2017.0502099
出版社：S&S Publications
摘要：This paper mainly discuss about handwritten text recognition with modification. The proposed systemcan be applicable for all offline handwritten text. It will smoothly work on digits as well as alphabets. This applicationwill help to recognise and modify publicly available dataset.This paper enlighten various steps useful for recognition and modification. In that Image Enhancement, ImageBinarization, Image segmentation and neural network are discuss for offline handwritten recognition. Using backpropagation and LAMSTAR are methods of neural network are choose for maximum recognition rate. This paper isalso focus on related work for on line and offline recognition techniques. Using those methodologies and techniquescomparative analysis is discuss in depth.
