作者
Kalyan S Dash, Niladri B Puhan, Ganapati Panda
发表日期
2017/12
期刊
Artificial Intelligence Review
卷号
48
页码范围
473-497
出版商
Springer Netherlands
简介
Character recognition is one of the challenging tasks of pattern recognition and machine learning arena. Though a level of saturation has been obtained in machine printed character recognition, there still remains a void while recognizing handwritten scripts. We, in this paper, have summarized all the existing research efforts on the recognition of printed as well as handwritten Odia alphanumeric characters. Odia is a classical and popular language in the Indian subcontinent used by more than 50 million people. In spite of its rich history, popularity and usefulness, not much research efforts have been made to achieve human level accuracy in case of Odia OCR. This review is expected to serve a benchmark reference for research on Odia character recognition and inspire OCR research communities to make tangible impact on its growth. Here several preprocessing methodologies, segmentation approaches …
引用总数
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学术搜索中的文章
KS Dash, NB Puhan, G Panda - Artificial Intelligence Review, 2017