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Synthetic fingerprint-image generation
Introduces a method for the generation of synthetic fingerprint images. Gabor-like space-variant filters are used for iteratively expanding an initially empty image containing just one or a few seeds. A directional image model, whose inputs are the number and location of the fingerprint cores and de...
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container_end_page | 474 vol.3 |
container_issue | |
container_start_page | 471 |
container_title | |
container_volume | 3 |
creator | Cappelli, R. Erol, A. Maio, D. Maltoni, D. |
description | Introduces a method for the generation of synthetic fingerprint images. Gabor-like space-variant filters are used for iteratively expanding an initially empty image containing just one or a few seeds. A directional image model, whose inputs are the number and location of the fingerprint cores and deltas, is used for tuning the filters according to the underlying ridge orientation. Very realistic fingerprint images are obtained after the final noising-and-rendering stage. |
doi_str_mv | 10.1109/ICPR.2000.903586 |
format | conference_proceeding |
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Gabor-like space-variant filters are used for iteratively expanding an initially empty image containing just one or a few seeds. A directional image model, whose inputs are the number and location of the fingerprint cores and deltas, is used for tuning the filters according to the underlying ridge orientation. Very realistic fingerprint images are obtained after the final noising-and-rendering stage.</description><identifier>ISSN: 1051-4651</identifier><identifier>ISBN: 9780769507507</identifier><identifier>ISBN: 0769507506</identifier><identifier>EISSN: 2831-7475</identifier><identifier>DOI: 10.1109/ICPR.2000.903586</identifier><language>eng</language><publisher>IEEE</publisher><subject>Benchmark testing ; Costs ; Electronic commerce ; Fingerprint recognition ; Forensics ; Gabor filters ; Image databases ; Image matching ; Internet ; Security</subject><ispartof>Proceedings 15th International Conference on Pattern Recognition. 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Very realistic fingerprint images are obtained after the final noising-and-rendering stage.</description><subject>Benchmark testing</subject><subject>Costs</subject><subject>Electronic commerce</subject><subject>Fingerprint recognition</subject><subject>Forensics</subject><subject>Gabor filters</subject><subject>Image databases</subject><subject>Image matching</subject><subject>Internet</subject><subject>Security</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>9780769507507</isbn><isbn>0769507506</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj0tLw0AUhQcfYKzdi6uu3E28d96zlOCjUFC0-3KbuRNHbJQkm_57KxUOnNV3-I4Q1wg1IsS7ZfP6VisAqCNoG9yJqFTQKL3x9lTMow_gXbTgDzkTFYJFaZzFC3E5jp8A6o-qxO37vp8-eCrtIpe-4-FnKP0ky446XnTc80BT-e6vxHmmr5Hn_z0T68eHdfMsVy9Py-Z-JUuIk2w5B4UqskLviaCFpKNJkQgTbckETG20bFzG1nFK2Ti_BSCbU2SyQc_EzXG2MPPmoLKjYb85HtS_R7RCvg</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Cappelli, R.</creator><creator>Erol, A.</creator><creator>Maio, D.</creator><creator>Maltoni, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2000</creationdate><title>Synthetic fingerprint-image generation</title><author>Cappelli, R. ; Erol, A. ; Maio, D. ; Maltoni, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-cef82129e2177aa0c0d394d9aa1daba481dc95e46f1c6eddf467b00a5fd9ea583</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Benchmark testing</topic><topic>Costs</topic><topic>Electronic commerce</topic><topic>Fingerprint recognition</topic><topic>Forensics</topic><topic>Gabor filters</topic><topic>Image databases</topic><topic>Image matching</topic><topic>Internet</topic><topic>Security</topic><toplevel>online_resources</toplevel><creatorcontrib>Cappelli, R.</creatorcontrib><creatorcontrib>Erol, A.</creatorcontrib><creatorcontrib>Maio, D.</creatorcontrib><creatorcontrib>Maltoni, D.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cappelli, R.</au><au>Erol, A.</au><au>Maio, D.</au><au>Maltoni, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Synthetic fingerprint-image generation</atitle><btitle>Proceedings 15th International Conference on Pattern Recognition. ICPR-2000</btitle><stitle>ICPR</stitle><date>2000</date><risdate>2000</risdate><volume>3</volume><spage>471</spage><epage>474 vol.3</epage><pages>471-474 vol.3</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>9780769507507</isbn><isbn>0769507506</isbn><abstract>Introduces a method for the generation of synthetic fingerprint images. Gabor-like space-variant filters are used for iteratively expanding an initially empty image containing just one or a few seeds. A directional image model, whose inputs are the number and location of the fingerprint cores and deltas, is used for tuning the filters according to the underlying ridge orientation. Very realistic fingerprint images are obtained after the final noising-and-rendering stage.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2000.903586</doi></addata></record> |
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identifier | ISSN: 1051-4651 |
ispartof | Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.3, p.471-474 vol.3 |
issn | 1051-4651 2831-7475 |
language | eng |
recordid | cdi_ieee_primary_903586 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Benchmark testing Costs Electronic commerce Fingerprint recognition Forensics Gabor filters Image databases Image matching Internet Security |
title | Synthetic fingerprint-image generation |
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