Show simple item record

dc.contributor.authorGerek, Ömer N.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialSan Jose, CA, United States
dc.date.accessioned2016-02-08T11:59:06Z
dc.date.available2016-02-08T11:59:06Z
dc.date.issued1998-01en_US
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11693/27666
dc.descriptionDate of Conference: 28-30 January, 1998en_US
dc.descriptionConference name: Photonics West '98 Electronic Imaging, 1998en_US
dc.description.abstractIn this paper, compression of binary digital fingerprint images is considered. High compression ratios for fingerprint images is essential for handling huge amount of images in databases. In our method, the fingerprint image is first processed by a binary nonlinear subband decomposition filter bank and the resulting subimages are coded using vector quantizers designed for quantizing binary images. It is observed that the discriminating properties of the fingerprint, images are preserved at very low bit rates. Simulation results are presented.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.298317en_US
dc.subjectBinary vector quantizationen_US
dc.subjectFingerprint image compressionen_US
dc.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectDatabase systemsen_US
dc.subjectDecompositionen_US
dc.subjectOptical filtersen_US
dc.subjectVector quantizationen_US
dc.subjectBinary subband decompositionen_US
dc.subjectImage codingen_US
dc.titleCoding of fingerprint images using binary subband decomposition and vector quantizationen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1072en_US
dc.citation.epage1079en_US
dc.identifier.doi10.1117/12.298317en_US
dc.publisherSPIE
dc.contributor.bilkentauthorÇetin, A. Enis


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record