01382nam a22001577a 4500999001700000100007100017245008800088260003000176300001100206500071800217700005300935856003300988942001101021952009001032952010201122  c56092d56089  aRjper, Kiran Manzoora11MSIT12aSupervisor - Mr Asghar Ali Chandio  aOnline Multi- Size Hand Writing Sindhi & English Digits Recolonization  (MS Thesis)  aNawabshah:bQUEST,c2016.  a43P, :  aABSTRACT


A new application is developed on android system. This represents online multi-size 
Sindhi and English digits recognition. With the help of touch screen devices such as tablet, PCs cellular, and other smart devices take input from various types of users 
And then system recognizes the input and five result. In this research applied the methods as as preprocessing, feature extraction,  segmentation, classification and then recognition. Tested the system from various users, take training of Sindhi and English digits from some users and then testing perform by other users. In this way the recognition  rate  is obtained  of Sindhi digits were 78.5% and accuracy rate Of English digits were 80%.
  aDepartment of Information Technology Engineering  uhttps://tinyurl.com/53b762hw  cTHESIS  00104070aRESEARCHbRESEARCHd2016-11-25l0pMP/14-139r2016-11-25 00:00:00yTHESIS  00104070aRESEARCHbRESEARCHd2018-10-02l0pMP/27-304r2018-10-02 00:00:00w2018-10-02yTHESIS