Urdu OCR - PAN Localization

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Challenges • Various shapes of same character • Humongous training data – Addition of on new class adds 150-200 Ligatures – Total ligatures 5,000-6,000 – That yields segments 20-30K • Clustering of segments for training – New clusters – Matching with already trained clusters • Over and under segmentation – Variation in the shape of ligature can cause change in thinning and hence segmentation is affected 16
Future Work • Diacritic association – Improvement in recognition – Character identification from class ID • Development of (Semi) automatic training system • Improvement in Segmentation Algorithm • Preprocessing engine 17
Page 1 and 2: Urdu OCR Ahmed Muaz Associate Devel
Page 3 and 4: Character set and Classification
Page 5 and 6: Properties of Nastaleeq Script •
Page 7 and 8: Urdu OCR development • Scope of c
Page 9 and 10: Segmentation Preprocessing • Sepa
Page 11 and 12: Segmentation II • Cutting - At se
Page 13 and 14: Recognition and Post processing •
Page 15: Current Status • We have trained

Urdu OCR - PAN Localization

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