Pitch-based segmentation and recognition of dot-matrix text

Yanıkoğlu, Berrin (2000) Pitch-based segmentation and recognition of dot-matrix text. International Journal on Document Analysis and Recognition, 3 (1). pp. 34-39. ISSN 1433-2833

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Dot-matrix text recognition is a difficult problem, especially when characters are broken into several disconnected components. We present a dot-matrix text recognition system which uses the fact that dot-matrix fonts are fixed-pitch, in order to overcome the difficulty of the segmentation process. After finding the most likely pitch of the text, a decision is made as to whether the text is written in a fixed-pitch or proportional font. Fixed-pitch text is segmented using a pitch-based segmentation process that can successfully segment both touching and broken characters. We report performance results for the pitch estimation, fixed-pitch decision and segmentation, and recognition processes.
Item Type: Article
Uncontrolled Keywords: Dot-matrix – Fixed-pitch – Pitch estimation – Segmentation – OCR
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 03 Jan 2012 14:37
Last Modified: 30 Jul 2019 15:19
URI: https://research.sabanciuniv.edu/id/eprint/17715

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