An Efficient Multi Fingerprint Verification System Using Minutiae Extraction Technique

In the recent decade, the rapid development of biometric technologies for security applications spurred increased interest in both academic research community and industrial sectors. Fingerprint images frequently have poor characteristics, because these traces are captured in crime places and are left on objects of different structure. The quality of the fingerprint images greatly affects the performance of the minutiae extraction. We design a robust approach to eliminate false minutiae that connects broken curves in fingerprint due low finger pressure, cut, or presence of dust particles. Our work has combined many methods to build a minutia extractor and a minutia matcher. We use multiple fingerprint as input and apply the combination of multiple methods like segmentation using Binarization operations, improved thinning, Minutiae_Connect, Minutiae_Margin, Minutiae extraction, false minutiae removal methods, and minutiae matching in the unified x-y coordinate system after a twostep transformation are used in the work. .