A scalable approach for fingerprint matching system based on minutiae extraction

A scalable approach for fingerprint matching system based on minutiae extraction The finger print matching process, the minutiae detection plays a major role to identify the maximum matching point of the finger print of the input image to train the dataset. The image segmentation is based on the thresholding algorithm. By using the thresholding algorithm, the region of interest area is segmented and then the minutiae of the maximum matching point are detected on the region. The centroid value of each ridge is calculated from the input image and the minutia of each ridge is detected. At finally, the distance between the each ridge is calculated from the image. When the region of interest is segmented from the input image, then the orientation of the rigid surface is calculated for the each surface. These orientations are detected based on the centroid value of the rigid surface as well as the minutia detection of the each rigid surface.