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Proceedings of

International Conference on Advances in Computer Science and Electronics Engineering CSEE 2020

"A SURVEY ON OFFLINE-METHODS OF CHARACTER SEGMENTATION"

JUHI KANERIA KANDARP PANDYA KRUTI J DANGARWALA RUCHITA TAILOR THAKKAR NIRAV B
DOI
10.15224/978-981-07-1403-1-222
Pages
45 - 51
Authors
5
ISBN
978-981-07-1403-1

Abstract: “Character segmentation is the critical area of the Optical Character Recognition process. The higher recognition rates for isolated characters as compared to those obtained for words and connected character strings illustrate this fact. This paper provides a review of various techniques of character segmentation, which are classified mainly into four classes. In classical approach the input image is partitioned into sub images, which are then classified.”

Keywords: segmentation, contextual method, graphemes, Hidden Markov Models, holistic recognition, Optical character recognition, recognition-based segmentation and survey

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