Printed Telugu Numeral Recognition based on Structural, Skeleton and Water Reservoir Features

Selection of feature extraction method is most important factor in achieving? high? recognition? performance? in? automatic? numeral recognition? systems In this paper, a new proposed system for Telugu printed numeral characters? recognition using number of contours, skeleton feature, water reservoir features, and ratio of length of Top line to bottom line of the image. Printed Telugu numerals are scan converted to binary? images and extract the features irrespective of size of the image. The proposed method is applied? with? success? to? a? database? of? 3150? printed? multi-font printed? Telugu numerals? The ?recognition? accuracy is achieved 100%. The? experimental? results? obtained? are encouraging? and? comparable? with? other? methods? found? in literature survey. The novelty of the proposed method is free from size normalization and without classification method.