Fingerprint classification using an AM-FM model
Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance...
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| Published in | IEEE transactions on image processing Vol. 10; no. 6; pp. 951 - 954 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.06.2001
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance as compared to the commonly used National Institute of Standards system, for the same classifier. |
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| AbstractList | Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance as compared to the commonly used National Institute of Standards system, for the same classifier. Research on fingerprint classification has primarily focused on finding improved classifiers, image and feature enhancement, and less on the development of novel fingerprint representations. Using an AM-FM representation for each fingerprint, we obtain significant gains in classification performance as compared to the commonly used National Institute of Standards system, for the same classifier |
| Author | Bovik, A.C. Pattichis, M.S. Panayi, G. Shun-Pin Hsu |
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| CitedBy_id | crossref_primary_10_1016_j_knosys_2015_02_008 crossref_primary_10_1002_jbio_200910023 crossref_primary_10_1016_j_patcog_2013_05_008 crossref_primary_10_1109_TPAMI_2007_1051 crossref_primary_10_1080_09720529_2005_10698021 crossref_primary_10_1007_s00034_019_01133_x crossref_primary_10_1109_TIP_2010_2040446 crossref_primary_10_1016_j_patcog_2009_08_011 crossref_primary_10_1016_j_patcog_2014_01_016 crossref_primary_10_1109_83_923291 crossref_primary_10_1016_j_patcog_2010_08_019 crossref_primary_10_1364_JOSAA_33_001668 crossref_primary_10_1109_TSMCC_2005_848167 crossref_primary_10_1007_s00034_017_0576_8 crossref_primary_10_1109_RBME_2020_2967273 crossref_primary_10_1155_2011_586865 crossref_primary_10_1186_1687_6180_2012_23 |
| Cites_doi | 10.1109/34.587996 10.1109/78.564175 10.1007/978-3-662-08542-4 10.1109/34.709565 10.1016/0031-3203(94)90031-0 10.6028/NIST.IR.5647 10.1016/0031-3203(95)00106-9 10.1109/83.923291 10.1109/5.537114 10.1109/18.119731 10.1016/0893-6080(90)90049-Q |
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| References | pattichis (ref12) 1998 ref13 ref15 ref2 erol (ref18) 1999 ref1 pattichis (ref14) 1996 ref16 hamanato (ref17) 1999 ref8 candela (ref4) 1995 ref9 murray (ref10) 1993 ref3 ref6 lee (ref11) 1994 fed bureau invest (ref5) 1984 havlicek (ref7) 1996 |
| References_xml | – ident: ref8 doi: 10.1109/34.587996 – start-page: 195 year: 1999 ident: ref18 article-title: feature selective filtering for ridge extraction publication-title: Intelligent Biometric Techniques in Fingerprint and Face Recognition contributor: fullname: erol – ident: ref3 doi: 10.1109/78.564175 – year: 1984 ident: ref5 publication-title: The Science of Fingerprints contributor: fullname: fed bureau invest – year: 1993 ident: ref10 publication-title: Mathematical Biology doi: 10.1007/978-3-662-08542-4 contributor: fullname: murray – ident: ref16 doi: 10.1109/34.709565 – ident: ref1 doi: 10.1016/0031-3203(94)90031-0 – year: 1995 ident: ref4 publication-title: PCASYS— A pattern-level classification automation system for fingerprints doi: 10.6028/NIST.IR.5647 contributor: fullname: candela – ident: ref9 doi: 10.1016/0031-3203(95)00106-9 – start-page: 137 year: 1999 ident: ref17 article-title: a gabor filter-based method for fingerprint identification publication-title: Intelligent Biometric Techniques in Fingerprint and Face Recognition contributor: fullname: hamanato – year: 1998 ident: ref12 publication-title: AM– FM Transforms with Applications contributor: fullname: pattichis – year: 1996 ident: ref7 publication-title: AM– FM image models contributor: fullname: havlicek – ident: ref13 doi: 10.1109/83.923291 – ident: ref6 doi: 10.1109/5.537114 – ident: ref2 doi: 10.1109/18.119731 – year: 1996 ident: ref14 article-title: am-fm expansions for images publication-title: Proc Eur Signal Processing Conf contributor: fullname: pattichis – year: 1994 ident: ref11 publication-title: Advances in Fingerprint Technology contributor: fullname: lee – ident: ref15 doi: 10.1016/0893-6080(90)90049-Q |
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| SubjectTerms | Applied sciences Artificial intelligence Biological system modeling Classification Classifiers Computer networks Computer science; control theory; systems Exact sciences and technology Fingerprint recognition Fingerprints Frequency modulation Gain Image databases Image matching Image processing Information, signal and communications theory Multidimensional systems Neural networks NIST Pattern recognition. Digital image processing. Computational geometry Performance gain Representations Signal processing Telecommunications and information theory |
| Title | Fingerprint classification using an AM-FM model |
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