A systematic approach for feature extraction in fingerprint images

被引：0
|
作者：
Chikkerur, S [1 ]
Wu, CH [1 ]
Govindaraju, V [1 ]
机构：
[1] SUNY Coll Buffalo, CUBS, Buffalo, NY 14222 USA
来源：
BIOMETRIC AUTHENTICATION, PROCEEDINGS | 2004年 / 3072卷
关键词：
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：
Fingerprint image enhancement and feature extraction are the most important stages in fingerprint verification. The robustness of the system depends entirely upon its ability to enhance bad quality images and reliably extract minutiae from it. In this paper we propose two original algorithms for the extraction of global and local features in fingerprint images. A global feature extraction and enhancement algorithm based on Fourier analysis that is simultaneously able to extract local ridge orientation, ridge frequency and ridge quality measure is proposed. A novel algorithm for minutiae feature extraction and post processing based on chain coded contour following is also presented.
引用
收藏
页码：344 / 350
页数：7
相关论文
共 50 条
  • [41] Multiscale Approach in Deep Convolutional Networks for Minutia Extraction from Contactless Fingerprint Images
    Cotrim, Anderson Nogueira
    Pedrini, Helio
    2022 IEEE 34TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI, 2022, : 931 - 938
  • [42] Feature Extraction for Color Images
    Han, Zhen-Yu
    Gu, Dong-Hua
    Wu, Qing-E
    ELECTRONICS, COMMUNICATIONS AND NETWORKS V, 2016, 382 : 215 - 221
  • [43] Feature Extraction of Signboard Images
    Geethapriya, V
    Lakshmi, P.
    Kalpana, D.
    2017 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNIQUES IN CONTROL, OPTIMIZATION AND SIGNAL PROCESSING (INCOS), 2017,
  • [44] Automated feature extraction in color retinal images by a model based approach
    Li, HQ
    Chutatape, O
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (02) : 246 - 254
  • [45] A model-based approach for automated feature extraction in fundus images
    Li, HQ
    Chutatape, O
    NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 394 - 399
  • [46] A General Approach for Color Feature Extraction of Microorganisms in Urine Smear Images
    Abdulla, Shaeez Usman
    Hridya, T. G.
    Nair, Vrinda V.
    2015 Fifth International Conference on Advances in Computing and Communications (ICACC), 2015, : 338 - 341
  • [47] Feature Extraction and Classification of Digital Kidney Ultrasound Images: A Hybrid Approach
    Biradar, Sunanda
    Akkasaligar, Prema T.
    Biradar, Sumangala
    PATTERN RECOGNITION AND IMAGE ANALYSIS, 2022, 32 (02) : 363 - 372
  • [48] Feature Extraction and Classification of Digital Kidney Ultrasound Images: A Hybrid Approach
    Prema T. Sunanda Biradar
    Sumangala Akkasaligar
    Pattern Recognition and Image Analysis, 2022, 32 : 363 - 372
  • [49] Feature extraction approach for quality assessment of remotely sensed hyperspectral images
    Das, Samiran
    Bhattacharya, Shubhobrata
    Khatri, Pushkar Kumar
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (02)
  • [50] A GRAPH-BASED APPROACH FOR FEATURE EXTRACTION AND SEGMENTATION OF MULTIMODAL IMAGES
    Iyer, Geoffrey
    Chanussot, Jocelyn
    Bertozzi, Andrea L.
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 3320 - 3324
12345