Digital camera based fingerprint recognition

被引:12
作者
Hiew, B. Y. [1 ]
Teoh, Andrew B. J. [2 ]
Pang, Y. H. [1 ]
机构
[1] Multimedia Univ Jalan Ayer Keroh Lama, Fac Informat Sci & Technol, Melaka 75450, Malaysia
[2] Yonsei Univ, BERC, Seoul, South Korea
来源
ICT-MICC: 2007 IEEE INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MALAYSIA INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1 AND 2, PROCEEDINGS | 2007年
关键词
touch-less fingerprint recognition; preprocessing; Gabor filter; principle component analysis;
D O I
10.1109/ICTMICC.2007.4448572
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Touch-less fingerprint recognition deserves increasing attention as it lets off the problems of deformation, maintenance, latent fingerprint problems and so on that still exist in the touch-based fingerprint technology. However, problems such as the low ridges-valleys contrast in the fingerprint images, defocus and motion blurriness raise when developing a digital camera based fingerprint recognition system. The system comprises of preprocessing, feature extraction and matching stages. The proposed preprocessing stage presents the promising results in terms of segmentation, enhancement and core point detection. Feature extraction is done by Gabor filter followed by Principle Component Analysis (PCA) and the favorable verification results are attained with Cosine Angle.
引用
收藏
页码:676 / +
页数:2
相关论文
共 12 条
  • [1] Chen, 2006, P BIOM S BIOM CONS C
  • [2] CHIKKERUR S, 2005, INT C ADV PATT REC U
  • [3] HASHIMOTO M, 2005, BIOMETRICS MOBILE HA
  • [4] HIEW BY, 2006, 9 INT C CONTR AUT RO
  • [5] LEE C, 2006, JOINT IAPR INT WORKS
  • [6] LEE CH, 2006, ADV BIOMETRICS
  • [7] Fingerprint feature extraction using Gabor filters
    Lee, CJ
    Wang, SD
    [J]. ELECTRONICS LETTERS, 1999, 35 (04) : 288 - 290
  • [8] Maltoni D., 2003, HDB FINGERPRINT RECO
  • [9] NAKAMURA T, 2004, 17 INT C PATT REC 20
  • [10] PARZIALE G, 2006, IAPR INT C BIOM HONG