Finger Print Image Enhancement using Thresholding and Binarization Techniques

被引：0
作者：
Shetter, Anupama [1 ]
Prajwalasimha, S. N. [1 ]
Swapna, H. [2 ]
机构：
[1] ATME Coll Engn, Dept Elect & Commun, Mysore, Karnataka, India
[2] ATME Coll Engn, Dept Elect & Elect, Mysore, Karnataka, India
来源：
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT) | 2018年
关键词：
Image Enhancement; Filtering; Ridges and Valleys Thersholding; Binarization;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to enhance the contrast between ridges and valleys of contactless fingerprint, image enhancement algorithm based on Thresholding and Binarization is proposed. First, initial resizing of the input image takes along with filter on the basis of the feature that the ridges of contactless fingerprint are linear structure and relatively brighter. Then the obtained output after filtering is subjected to Thresholding and Binarization. Experimental results shows that the proposed algorithm enhances the image at faster rate compared to the existing algorithm.
引用
收藏
页码：899 / 901
页数：3
相关论文
共 50 条
  • [31] Infrared Image Enhancement Techniques - A Review
    Janani, V.
    Dinakaran, M.
    SECOND INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN ENGINEERING AND TECHNOLOGY (ICCTET 2014), 2014, : 167 - 173
  • [32] A New Image Binarization Method Using Histogram and Spectral Clustering
    Wu, Rui
    Yin, Fang
    Huang, Jianhua
    Tang, Xianglong
    PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,
  • [33] IMAGE ENHANCEMENT USING INTEGER SEQUENCES
    Rajan, Arulalan
    Jamadagni, H. S.
    Rao, Ashok
    2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS, 2009, : 685 - +
  • [34] Document image binarization by using texture-edge descriptor
    Armanfard, N.
    Valizadeh, M.
    Komeili, M.
    Kabir, E.
    2009 14TH INTERNATIONAL COMPUTER CONFERENCE, 2009, : 133 - 138
  • [35] Image Quality Enhancement Using the Direction and Thickness of Vein Lines for Finger-Vein Recognition
    Park, Young Ho
    Park, Kang Ryoung
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 9
  • [36] The Study on Finger Vein Image Enhancement Based on Ridgelet Transformation
    Li Hong-bing
    Yu Cheng-bo
    Zhang Dong-mei
    Zhou Zhao-min
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [37] Various Image Enhancement Techniques for Skin Cancer Detection Using Mobile App
    Kalra, Manasvi
    Kumar, Sujeet
    2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
  • [38] Document image binarization using local features and Gaussian mixture modeling
    Mitianoudis, Nikolaos
    Papamarkos, Nikolaos
    IMAGE AND VISION COMPUTING, 2015, 38 : 33 - 51
  • [39] Document Image Binarization Using "Multi-Scale" Predefined Filters
    Saabni, Raid M.
    NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017), 2018, 10615
  • [40] Document Image Binarization Using Dual Discriminator Generative Adversarial Networks
    De, Rajonya
    Chakraborty, Anuran
    Sarkar, Ram
    IEEE SIGNAL PROCESSING LETTERS, 2020, 27 (27) : 1090 - 1094
12345