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Detecting and recognizing numerical strings in Farsi document images

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3 Author(s)
Abedi, A. ; Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran ; Faez, K. ; Mozaffari, S.

In this paper, we propose a new approach for detecting and recognizing numerical strings in Farsi/Arabic handwritten or machine-printed document images. We assign a label to each of the connected components as they belong to a numerical string or not. First, in order to differentiate between digit and non-digit connected components, some simple features are extracted from all connected components in each text line. Then, these features are classified with a fuzzy rule-based classifier to extract some candidate strings. After using a digit recognizer, syntax of the numerical strings are validated by a syntactic verifier. Experimental results show an acceptable detection rate with low false positive rate.

Published in:

Image and Vision Computing New Zealand, 2009. IVCNZ '09. 24th International Conference

Date of Conference:

23-25 Nov. 2009

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