A fast image enhancement algorithm for fingerprint

被引：0
|
作者：
Tong, Xi-Feng [1 ]
Liu, Song-Bo [1 ]
Huang, Jian-Hua [1 ]
Tang, Xiang-Long [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
image enhancement; fingerprint; two-level convolution template; FVC2002;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The reduction of time cost is a challenging task in an embedded fingerprint verification system. This paper proposes a fast image enhancement algorithm for fingerprint verification. Firstly, a two-level convolution template is designed according to ridge direction and ridge circle. Then a simplified convolution is used to enhance fingerprint, which speed up the enhancement procedure. Experimental results show that in general the proposed algorithm has similar or better enhancement results than the well-known Gabor enhancement. Moreover, the time cost is much less than that of Gabor enhancement. A test on a fixed-point DSP shows that the proposed algorithm is suitable for practical application in embedded mode.
引用
下载
收藏
页码：176 / 180
页数：5
相关论文
共 50 条
  • [41] Fingerprint image enhancement by diffusion processes
    Chen, Huiqing
    Dong, Gang
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 297 - +
  • [42] A review of fingerprint image enhancement methods
    Ailisto, Heikki
    Lindholm, Mikko
    Tikkanen, Pauli
    International Journal of Image and Graphics, 2003, 3 (03) : 401 - 424
  • [43] Survey on the impact of fingerprint image enhancement
    Schuch, Patrick
    Schulz, Simon
    Busch, Christoph
    IET BIOMETRICS, 2018, 7 (02) : 102 - 115
  • [44] Knowledge based fingerprint image enhancement
    Luo, XP
    Tian, J
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS: APPLICATIONS, ROBOTICS SYSTEMS AND ARCHITECTURES, 2000, : 783 - 786
  • [45] Global Normalization for Fingerprint Image Enhancement
    Patel, Meghna B.
    Parikh, Satyen M.
    Patel, Ashok R.
    COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING, 2020, 1108 : 1059 - 1066
  • [46] Wavelet based fingerprint image enhancement
    Hatami, S
    Hosseini, R
    Kamarei, M
    Ahmadi, H
    2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, : 4610 - 4613
  • [47] Fingerprint image enhancement algorithms: An overview
    Veeravalli, A
    Adhami, R
    Meenen, P
    Ray, M
    Velkur, N
    CISST '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS, AND TECHNOLOGY, 2004, : 485 - 490
  • [48] A fast algorithm for color image enhancement with total variation regularization
    Li Ming
    SCIENCE CHINA-INFORMATION SCIENCES, 2010, 53 (09) : 1913 - 1916
  • [49] A Fast Image Enhancement Algorithm for Highway Tunnel Pedestrian Detection
    Li Yongxue
    Zhao Min
    Sun Dihua
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 3485 - 3490
  • [50] Research on fingerprint enhancement and classification algorithm
    Liu, YN
    Li, ZH
    FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, PROCEEDINGS, 2004, : 199 - 204
12345