Title :
Iterative Fingerprint Enhancement with Matched Filtering and Quality Diffusion in Spatial-Frequency Domain
Author :
Sutthiwichaiporn, Prawit ; Areekul, Vutipong ; Jirachaweng, Suksan
Author_Institution :
Dept. of Electr. Eng., Kasetsart Univ., Bangkok, Thailand
Abstract :
The proposed fingerprint enhancement algorithm utilizes power spectrum in spatial-frequency domain. The input fingerprint is partitioned and assessed as high/low quality zone by using signal-to-noise ratio (SNR) approach. For high quality zone, signal spectrum with noise suppression is used to shape an enhanced filter in frequency domain. Then, this algorithm feed neighboring enhanced zone back in order to repair unreliable low quality region. The proposed algorithm out-performs Gabor and STFT approaches by fingerprint matching experiments on FVC2004 Db2 and Db3.
Keywords :
filtering theory; fingerprint identification; iterative methods; SNR; iterative fingerprint enhancement; matched filtering; noise suppression; power spectrum; quality diffusion; signal spectrum; signal-to-noise ratio; spatial-frequency domain; Algorithm design and analysis; Fingerprint recognition; Frequency domain analysis; Matched filters; Signal to noise ratio; Denoising; Fingerprint Enhancement; Matched Filtering; Quality Diffusion; Spatial-Frequency Domain Enhancement;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.313
