Zone-Based Feature Extraction Techniques and SVM for Handwritten Gurmukhi Character Recognition

In this paper we present an overview of Feature Extraction techniques for off-line recognition of isolated Gurumukhi characters recognition. Selection of Feature Extraction method is probably the single most important factor in achieving high performance in pattern recognition. Our paper presents Zone based approach which is the combination of image centroid zone and zone centroid zone of numeral/character image. In image centroid zone character is divided into n equal zone and then image centroid and the average distance from character centroid to each zones/grid/boxes present in image is calculated. Similarly, in zone centroid zone character image is divided into n equal zones and centroid of each zones/boxes/grid and average distance from zone centroid to each pixel present in block/zone/grid is calculated. We have used SVM for subsequent classifier and recognition purpose. We obtained 95.11% recognition accuracy. Keywords— Gurmukhi Script, Image processing, pattern recognition, ICZ,ZCZ. Feature extraction method, Image centroid zone, zone centroid zone, support vector classifier (SVM)