title   
  

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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Official URL: http://dx.doi.org/10.1007/PL00013553

Abstract

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
ID Code:17715
Deposited By:Berrin Yanıkoğlu
Deposited On:03 Jan 2012 14:37
Last Modified:03 Jan 2012 14:37

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