Fingerprint identification using Cross Correlation of Field Orientation

In this paper, an efficient means to provide personal identification using finger print has been proposed. Field orientation method available in literature overcomes the drawbacks in the minutiae method. In order to get a better accuracy in identification even in noisy condition, a new method - Cross Correlation of Field Orientation (CCFO) is proposed in this paper. The proposed scheme uses field orientation of the fingerprint image with cross correlation. Orientation Field Methodology (OFM) has been used as a pre-processing module. Using this, it is possible to identify whether the person is authenticated or an intruder. OFM converts images into a field pattern based on the direction of ridges loops and bifurcations in the finger print image. The input image is then cross correlated with all the images in the cluster and the highest correlated image is taken as the output. As the proposed scheme uses Field Orientation images for fingerprint identification, the results give better accuracy even in case of damaged or partial images. This scheme provides an additional feature of immunity to noise.