Word Segmentation for Urdu OCR System
نویسندگان
چکیده
This paper presents a technique for Word segmentation for the Urdu OCR system. Word segmentation or word tokenization is a preliminary task for understanding the meanings of sentences in Urdu language processing. 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 methodology 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 96.10% with 65.63% unknown words identification rate. Keywords–Word Segmentation; Urdu OCR System; Urdu Ligature; Word langauge model; Ligature langauge model
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