Isolated Curved Gurmukhi Character Recognition Using Projection of Gradient
نویسندگان
چکیده
In this paper, we have presented a system for isolated curved Gurmukhi character recognition using projection of gradient. We have used projection of gradient features to extract the features of the character. The method relies upon the application of a projection based feature extraction using Radon transform, on both the original image and a set of produced images corresponding to different gradient orientations of the original image. Principal Component Analysis (PCA) is used for the recognition. The method is evaluated using the database of 525 samples images written by 15 persons which are prepared for experiment. We have achieved recognition accuracy of 95.23% using projection of gradient features with PCA.
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