Kannada Handwritten Vowels Recognition based on Normalized Chain Code and Wavelet Filters
B.V. Dhandra, Shashikala Parameshwarapa, Gururaj Mukarambi · 2014
In this paper, an algorithm is designed to recognize the handwritten Kannada vowels based on shape features such as normalized chain codes and wavelet filters. A normalized chain code and wavelet decomposition co-efficients are extracted as a feature vector of size 22 from the normalized binary images of size 40x40 and KNN classifier is applied for classification of vowels. A sample of 1400 Kannada vowels image are used for experiment. The average recognition accuracy of the proposed algorithm is 95.07 % for Kannada vowels.