Minutiae Extraction and Variation of Fast Fourier Transform on Fingerprint Recognition

Amandeep Kaur1, Ameeta2, Babita3 Department of ECE, PCET, Lalru Mandi. PTU Jalandhar, Punjab Asst. Professor, Department of ECE, PCET, Lalru Mandi. PTU Jalandhar, Punjab 3 Asst. Professor,Department of Computer Science and Engineering , PCET, Lalru Mandi PTU Jalandhar, Punjab Email:[email protected] Abstract—A fingerprint is the feature pattern of one finger. It is believed with strong evidences that each fingerprint is unique. Each person has his own fingerprints with the permanent uniqueness. So fingerprints have being used for identification and forensic investigation for a long time. The fingerprint recognition problem can be grouped into two sub-domains: one is fingerprint verification and the other is fingerprint identification In addition, different from the manual approach for fingerprint recognition by experts, the fingerprint recognition here is referred as AFRS (Automatic Fingerprint Recognition System), which is program-based. This paper presents the variation of Fast Fourier Transform on finger print recognition by fast fingerprint minutiae extraction and recognition algorithm which improves the clarity of the ridge and valley structures of the input finger print images based on the frequency and orientation of the local ridges and thereby extracting correct minutiae .This research work has combined many methods to build a minutia extractor and a minutia matcher. Simulation results are obtained with MATLAB going through all the stages of the fingerprint recognition is built. It is helpful to understand the procedures of fingerprint recognition. And demonstrate the key issues of fingerprint recognition