000			01691nam a22001337a 4500
999			_c55966 _d55963
100			_aLaghari, Mehwish _aSupervisor Dr. Akhtar Hussain Jalbani
245			_aOnline Handwriting Character Recognition For Sindh Language (MS Theses)
260			_aNawabshah: _bQUEST, _c2015.
300			_a54p, :
500			_aABSTRACT The recognition of handwriting in general and recognition of cursive handwritten script in particular grasped special attention by the research community working on natural language processing. It presents more difficulties in the case of Sindhi language (based on Arabic script), as it contains a richer character set of 52 alphabetic characters. In many cases the only difference between two characters is the number, position or even the orientation of the dots, making it difficult to identify the right character without context. In this research an application will be developed for recognition of handwritten characters of Sindhi language. The proposed application will work on characters entered on a touch sensitive device like a PDA, smart phone or a tablet. In order to test the accuracy rate of the designed application a richer dataset of 4000 samples has been collected by 60 writers. 20 writers were Primary School Teachers (PSTs ) and 40 other writers from various fields of life. Then the proposed system is tested for accuracy results using that dataset and various results have been presented and described in detail in this research work. xiii
700			_aDepartment Of Information Technology Engineering
856			_uhttps://tinyurl.com/5ykh6v6b
942			_cTHESIS