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A Methodology for Urdu Word Segmentation using Ligature and Word Probabilities
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 Title & Authors
A Methodology for Urdu Word Segmentation using Ligature and Word Probabilities
Khan, Yunus; Nagar, Chetan; Kaushal, Devendra S.;
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 Abstract
This paper introduce a technique for Word segmentation for the handwritten recognition of Urdu script. Word segmentation or word tokenization is a primary technique for understanding the sentences written in Urdu language. Several techniques are available for word segmentation in other languages but not much work has been done for word segmentation of Urdu Optical Character Recognition (OCR) System. A method is proposed for word segmentation in this paper. It finds the boundaries of words in a sequence of ligatures using probabilistic formulas, by utilizing the knowledge of collocation of ligatures and words in the corpus. The word identification rate using this technique is 97.10% with 66.63% unknown words identification rate.
 Keywords
Handwritten Urdu OCR System;Urdu Ligature;Word language model;Ligature language model;Word Segmentation;
 Language
English
 Cited by
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