Offline handwritten and printed Urdu digits recognition using Daubechies Wavelet
Ratan Borse, Imtiyaz Ansari · 2015
This paper presents an optical character recognition system for Urdu Language Digits (Handwritten and Printed). A lot of work has been done in recognition of characters and numerals of various languages like Devanagari, English, Chinese, and Arabic etc. But in case of Urdu Digits very less work has been reported. Different Daubechies Wavelet transforms are used in this work for feature extraction. Total 4000 samples of digits- Handwritten and Printed have been used. The back propagation neural network has been used for classification. An average recognition accuracy of Handwritten Digit is 92.07% and for Printed Digit is 99.95% been achieved.