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Orientation scanning to improve lossless compression of fingerprint images
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2003 (English)In: Audio-and video-based biometric person authentication: 4th International Conference, AVBPA 2003, Guildford, UK, June 9-11, 2003 : proceedings / [ed] Josef Kittler, Mark S. Nixon, Berlin, 2003, Vol. LNCS-2688, 343-350 p.Conference paper, Published paper (Other academic)
Abstract [en]

While standard compression methods available include complex source encoding schemes, the scanning of the image is often performed by a horizontal (row-by-row) or vertical scanning. In this work a new scanning method, called ridge scanning, for lossless compression of fingerprint images is presented. By using ridge scanning our goal is to increase the redundancy in data and thereby increase the compression rate. By using orientations, estimated from the linear symmetry property of local neighbourhoods in the fingerprint, a scanning algorithm which follows the ridges and valleys is developed. The properties of linear symmetry are also used for a segmentation of the fingerprint into two parts, one part which lacks orientation and one that has it. We demonstrate that ridge scanning increases the compression ratio for Lempel-Ziv coding as well as recursive Huffman coding with approximately 3% in average. Compared to JPEG-LS, using ridge scanning and recursive Huffman the gain is 10% in average.

Place, publisher, year, edition, pages
Berlin, 2003. Vol. LNCS-2688, 343-350 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 2688
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-14920ISI: 000184940200041Scopus ID: 2-s2.0-35248842730ISBN: 3-540-40302-7 OAI: oai:DiVA.org:hh-14920DiVA: diva2:408403
Conference
4th International Conference on Audio- and Video- Based Biometric Person Authentication (AVBPA'03), Guildford, UK, June 9-11, 2003
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2017-09-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf