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
  • [41] Document Image Binarization Using Visibility Detection and Point Cloud Segmentation
    Li, Jianhong
    Chen, Yan
    Liu, Siling
    PATTERN RECOGNITION AND COMPUTER VISION,, PT III, 2021, 13021 : 92 - 104
  • [42] Improved Binarization Using Morphology-driven Image Resizing and Decomposition
    Lin, Chang-Te
    Wang, Jung-Hua
    Tseng, Chun-Shun
    Tsai, Shan-Chun
    Lin, Chiao-Wei
    Huang, Ren-Jie
    2019 IEEE 11TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (IWCIA 2019), 2019, : 27 - 33
  • [43] Image Binarization by Dynamic Convex Quadrilateral Region Segmentation Using GA
    Nakamura, Soma
    Saitoh, Fumihiko
    ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2016, 99 (01) : 53 - 61
  • [44] Document Image Denoising and Binarization using Curvelet Transform for OCR Applications
    Patvardhan, C.
    Verma, A. K.
    Lakshmi, C. Vasantha
    3RD NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE 2012), 2012,
  • [45] An Evaluation of Image Enhancement Techniques for Capillary Imaging
    Doshi, Niraj P.
    Schaefer, Gerald
    Merla, Arcangelo
    PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, : 1428 - 1432
  • [46] Enhancement of Historical Documents by Image Processing Techniques
    Mittal, Neetu
    Sehgal, Arjun
    Khatri, Sunil Kumar
    2017 6TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO), 2017, : 630 - 635
  • [47] Recent advances in fuzzy techniques for image enhancement
    Russo, F
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 1998, 47 (06) : 1428 - 1434
  • [48] A study on VLSI implementation of image enhancement techniques
    Aklak, Annis Fathima
    Pugazhenthi, Murugesh Yadhav
    Alex, John Sahaya Rani
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (10)
  • [49] Medical Image Fusion Employing Enhancement Techniques
    Pal, Bandana
    Mahajan, Surya
    Jain, Shruti
    PROCEEDINGS OF 2020 6TH IEEE INTERNATIONAL WOMEN IN ENGINEERING (WIE) CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE 2020), 2020, : 235 - 238
  • [50] Image Enhancement Techniques for Palm Vein Images
    Gurunathan, V.
    Bharathi, S.
    Sudhakar, R.
    ICACCS 2015 PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS, 2015,
12345