Fingerprint Feature Extraction Using Hough Transform and Minutiae Extraction

Fingerprint recognition is done with minutiae points and non-minutiae points but, here minutiae points are used for fingerprint recognition. A fingerprint is collection of many ridges and furrows (Valleys). The continuous dark pattern flow in fingerprint is called ridges and the light area between ridges is called furrows. Fingerprint has some unique points on the ridge which is known as minutiae point. The proposed fingerprint identification method is based on the Hough Transform and it enables us to identify a fingerprint even if the scanned image is of poor quality or information about rotation angle is unknown. In this paper we are proposing an algorithm which helps in recognizing of fingerprints by using Hough transform and minutiae extraction.