Earticle

초록

영어

This paper describes a detailed description of segmentation procedure for fingerprint area detection in a digital fingerprint image. Purpose of this procedure is to extract very precisely the fingerprint area and to separate it from the image background. The precise fingerprint area detection is important not only for vendors of minutiae extraction algorithms but also for semantic conformance testing for finger minutiae data in the newly created international standard.
Our segmentation procedure was evaluated for real-world scenario, so the used fingerprints were scanned from real dactyloscopic fingerprint cards. These fingerprints were taken from Ground Truth Database of fingerprints (used subset of GTD originally belongs to NIST SD14 and SD29 databases). Our procedure had to deal with specific problems and properties of these images such as handwritten or printed characters, drawings or specific noise in the background or spread over the fingerprint itself. Our approach was compared with three other methods and yields significantly better results than the best of the benchmarked methods.

목차

Abstract
 1. Introduction
 2. Existing methods
  2.1. NIST algorithms
  2.2. Ratha algorithm
  2.3. Basic Gabor filter based algorithm
 3. Proposed segmentation pipeline
  3.1. Fingerprint preprocessing
  3.2. Enhanced Gabor filter based segmentation method and erosion of detected area
  3.3. Removal of artifacts
  3.4. Removal of holes and insignificant areas
  3.5. Manual correction
  3.6. Fingerprint border detection
 4. Benchmarking results
 5. Conclusions
 References

저자

• Michal Dolezel [ Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology ]
• Dana Hejtmankova [ Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology ]
• Christoph Busch [ Hochschule Darmstadt - CASED, Mornewegstr ]
• Martin Drahansky [ Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605