Abstract
Fingerprint segmentation is one of the first and most integral pre-processing steps for any fingerprint verification system, and it determines the results of fingerprint analysis and recognition. In this paper, we have proposed a novel algorithm for fingerprint segmentation. The fingerprint image gradient are discussed and its application to fingerprint segmentation is presented. Firstly, Gauss filter is used to remove noise and then we utilize histogram equalization to enhance the contrast between background and foreground. Secondly, a novel gradient based method is adopted and then obtain the approximate foreground region of the fingerprint images. Finally, we smooth the image to eliminate the isolated pieces and block effect of fingerprints. The method acquires the threshold combining the basic gradient value distributing character. It is simple to implement and the performance of the proposed algorithm is evaluated on FVC2004 DB3 database. Experimental results show the new adaptive algorithm is effective and reliable, especially for fingerprint images of low quality.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
