Recognition of Online Handwritten Punjabi Numerals
| dc.contributor.author | Shivali | |
| dc.contributor.supervisor | Sharma, R. K. | |
| dc.date.accessioned | 2012-01-03T10:34:07Z | |
| dc.date.available | 2012-01-03T10:34:07Z | |
| dc.date.issued | 2011-09-21 | |
| dc.description | M.Sc. (Mathematics and Computing) | en |
| dc.description.abstract | The main goal of this thesis is to develop an online handwritten Gurmukhi numeral recognition system.In this,we have carried out the data collection,pre-processing and the recognition process.In pre-processing ,four algorithms: normalization, interpolation, resampling and smoothing have been implemented.The algoriths are implimented in JAVA.Recognition is done using SVM.We have used three kernel function: Linear,Polynomial and RBF of SVM for recognition and the results obtained are resonably good.The highest accuracy achieved is 97.5% when linear kernel is used. | en |
| dc.format.extent | 1075291 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/10266/1679 | |
| dc.language.iso | en | en |
| dc.subject | Handwritten Character Recognition | en |
| dc.subject | SVM | en |
| dc.title | Recognition of Online Handwritten Punjabi Numerals | en |
| dc.type | Thesis | en |