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Fingerprint verification is one of the most reliable personal identification method. However, manual fingerprint verification is tedious, time consuming and expensive. Thus it is incapable to match the required speed and accuracy expected in modern world. Minutiae based and image based are two major approaches for fingerprint recognition. Image based approach offers much higher computation efficiency with minimum pre processing and proves effective when the image quality is too low to allow a reliable minutiae extraction. In this work, a novel method of image based fingerprint matching which uses the orientation field as a feature vector is proposed. The proposed method overcomes problems of shape distortion, variation in position, rotation and translation of image. Optimal core point detection of fingerprint (image) helps in improving accuracy of fingerprint matching system. Based on orientation feature, a …