Automatic Recognition of Offline Handwritten Urdu Digits In Unconstrained Environment Using Daubechies Wavelet Transforms

Abstract

This paper presents an optical character recognition system for the handwritten Urdu Digits. 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 handwritten Urdu Digits very less work has been reported. Different Daubechies Wavelet transforms are used in this work for feature extraction. Also zonal densities of different zones of an image have been used in the feature set. In this work, 200 samples of each digit have been used. The back propagation neural network has been used for classification. An average recognition accuracy of 92.07% has been achieved.