In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area .We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector. -　　　　　　　　　　　 In this project we have implemented a method for recognition of Printed Characters by extracting some features from the gray scale image using a Bank of Gabor Filters. In this project we initially segment the given word image into words and words into characters. We apply these characters to a bank of Gabor Filters .From the output of these Gabor Filters we extract features namely normalized Centroid ,Normalized area　.We form a vector using these parameters and then compare these vectors with the reference vectors which were computed earlier using reference characters. Finally we print the character corresponding to the reference vector which is closest to the computed vector.