Novel Ridge Orientation Based Approach for Fingerprint Identification Using Co-Occurrence Matrix

被引：0
|
作者：
Yazdi, Mehran [1 ]
Adelpour, Zahra [1 ]
Bahraini, Batoul [1 ]
Jahromi, Yasaman Keshtkar [1 ]
机构：
[1] Shiraz Univ, Sch Engn, Dept Elect Engn, Shiraz, Iran
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 26, PARTS 1 AND 2, DECEMBER 2007 | 2007年 / 26卷
关键词：
Parallel lines detection; co-occurrence matrix; fingerprint identification;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we use the property of co-occurrence matrix in finding parallel lines in binary pictures for fingerprint identification. In our proposed algorithm, we reduce the noise by filtering the fingerprint images and then transfer the fingerprint images to binary images using a proper threshold. Next, we divide the binary images into some regions having parallel lines in the same direction. The lines in each region have a specific angle that can be used for comparison. This method is simple, performs the comparison step quickly and has a good resistance in the presence of the noise.
引用
收藏
页码：371 / 375
页数：5
相关论文
共 50 条
  • [1] Spoof fingerprint detection based on co-occurrence matrix
    Jiang, Yujia
    Liu, Xin
    International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015, 8 (08) : 373 - 384
  • [2] Fingerprint liveness detection using multiscale difference co-occurrence matrix
    Yuan, Chengsheng
    Xia, Zhihua
    Sun, Xingming
    Sun, Decai
    Lv, Rui
    OPTICAL ENGINEERING, 2016, 55 (06)
  • [3] Fingerprint classification based on graylevel fuzzy clustering co-occurrence matrix
    Topaloglu, Nurettin
    ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH, 2012, 29 (02): : 1125 - 1132
  • [4] Fingerprint Liveness Detection Using Gray Level Co-Occurrence Matrix Based Texture Feature
    Yuan, Chengsheng
    Xia, Zhihua
    Sun, Xingming
    Sun, Decai
    Lv, Rui
    INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2016, 9 (10): : 65 - 78
  • [5] An Efficient Content Based Image Retrieval Using Edge Orientation Co-occurrence Matrix
    Gholipour, Farnaz
    Ebrahimnezhad, Hossein
    2014 6TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2014, : 67 - 72
  • [6] A co-occurrence matrix based approach to detect jpeg steganography
    Li, Zhuo
    Chen, Jian
    Pan, Xuezeng
    Zeng, Xianting
    ICIC Express Letters, 2010, 4 (04): : 1203 - 1208
  • [7] Difference co-occurrence matrix using BP neural network for fingerprint liveness detection
    Chengsheng Yuan
    Xingming Sun
    Q. M. Jonathan Wu
    Soft Computing, 2019, 23 : 5157 - 5169
  • [8] Difference co-occurrence matrix using BP neural network for fingerprint liveness detection
    Yuan, Chengsheng
    Sun, Xingming
    Wu, Q. M. Jonathan
    SOFT COMPUTING, 2019, 23 (13) : 5157 - 5169
  • [9] Fingerprint verification using Gabor co-occurrence features
    Arivazhagan, S.
    ArulFlora, T. G.
    Ganesan, L.
    ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL II, PROCEEDINGS, 2007, : 281 - +
  • [10] Improved approach for image retrieval based on generalized co-occurrence matrix
    Hong, Qingqi
    Wang, Beizhan
    Dong, Huailin
    Hong, Zhiling
    Li, Cuihua
    Chen, Bing
    Journal of Computational Information Systems, 2008, 4 (01): : 97 - 104
12345