Review Papers | Computer Science and Information Technology | India | Volume 11 Issue 2, February 2022
Comparative Analysis on Handwritten Gujarati Numerals Recognition
Dr. Bharat C. Patel
Abstract: The world is moving very rapidly towards digital era and therefore, any historical or government documents are also required to convert into digital form. The process of translating documents that are in the form of paper into digitized form is called optical character recognition (OCR) which is the field of research in pattern recognition. Character or numeral recognition is a most important field of pattern recognition. In the current scenario, Gujarati numeral OCR play significant role in various applications like reading numerals written on bank cheque which is either printed or handwritten form, recognition of numeric entries filled in the form or even other related applications. This paper deals with research work done in printed and handwritten numeral recognition on Gujarati script. Obviously, the problem of handwritten numerals has variety of challenges like numerals are not of the same size, style, orientation and thickness relative to printed numerals. Therefore, they are complicated to recognize rather than typed Gujarati numerals. Compare to other regional Indian languages, the research work completed in Gujarati language is not up to the mark. This paper focuses on literature study on Gujarati numeral recognition that helps learners to provide basic structure of recognition system and also guide them how to proceed further in recognition task.
Keywords: Online Gujarati numeral recognition, offline Gujarati numeral recognition, feature extraction method, classifiers
Edition: Volume 11 Issue 2, February 2022,
Pages: 1146 - 1150
How to Cite this Article?
Dr. Bharat C. Patel, "Comparative Analysis on Handwritten Gujarati Numerals Recognition", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR22223150050, Volume 11 Issue 2, February 2022, 1146 - 1150, #ijsrnet
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