Urdu online handwriting recognition

Abstract

Handwriting has continued to persist as a mean of communication and recording information in day-to-day life even with the introduction of new technologies. Handwritten information can be used as computer input once it is converted to digital form. This paper focus on Urdu online handwriting recognition system that converts user hand written information into Urdu text. The working of recognition system is based on analytical approach to segmentation for feature extraction, rule based slant analysis for slant removal and tree based dictionary search for classification. The proposed tree search technique reduces the search space up to 96.2% and is therefore significantly faster than searching techniques, in which we have to process the whole dictionary to come up with the correct answer