Fingerprint enhancement based on MRF with curve accumulation

Zhongwen Huang; Feihu Qi

doi:10.1117/12.441507

20 September 2001 Fingerprint enhancement based on MRF with curve accumulation

Zhongwen Huang, Feihu Qi

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441507
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The uniqueness of fingerprints has been used for identification for a long time. Automatic fingerprint identification system (AFIS) depends on minutiae to identify a person that rely heavily on the quality of fingerprint image. This paper presents a novel fingerprint enhancement scheme based on a Markov Random Field (MRF). The MRF model is applied to capture local statistical regularities of ridges and then the curve accumulation based on the MRF model is presented to enhance the fingerprint. Such procedure is repeated until the statistics difference can be got between fingerprint ridges and valleys (accumulation). In the end, the adaptive binarisation is made. The results of experiments show that this method can effectively improve the clarity of ridge and valley structures of input fingerprint images and meanwhile preserve the minutiae very well.

Citation Download Citation

Zhongwen Huang and Feihu Qi "Fingerprint enhancement based on MRF with curve accumulation", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441507

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available