NDLI: Core-based fingerprint image classification

Content Provider	IEEE Xplore Digital Library
Author	Byoung-Ho Cho Jeung-Seop Kim Jae-Hyung Bae In-Gu Bae Kee-Young Yoo
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Eng., Kyoungpook Nat. Univ., Taegu, South Korea (Byoung-Ho Cho)
Abstract	This paper presents a new fingerprint classification algorithm that uses only the information related to core points. The algorithm uses an efficient enhancing method of fingerprint image for high-quality directional image. The algorithm detects core point candidates roughly from the directional image and adjusts the location of each core candidate for more exact result. In core analysis, the near area of each core candidate is examined. False core points made by noise are eliminated and the type and the orientation of core point are extracted for the classification step. Using this information, classification is performed. The algorithm was tested on 6283 images and classification accuracy of 92.3% for the four classes (arch, left-loop, right-loop, whorl) is achieved.
Starting Page	859
Ending Page	862
File Size	407644
Page Count	4
File Format	PDF
ISBN	0769507506
ISSN	10514651
DOI	10.1109/ICPR.2000.906210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Image matching Image segmentation Pixel Information retrieval Image databases Data preprocessing Data mining Testing Information security
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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