Article

Synthetic Fingerprint-Image Generation

ICPR '00: Proceedings of the International Conference on Pattern Recognition - Volume 3

Page 3475

Published: 03 September 2000 Publication History

Abstract

This work introduces a novel 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.

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Wang LBhattacharjee NSrinivasan BRahayu WPardede ECuong NTaniar D(2011)A novel technique for singular point detection based on Poincaré indexProceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia10.1145/2095697.2095703(12-18)Online publication date: 5-Dec-2011
https://dl.acm.org/doi/10.1145/2095697.2095703
Kümmel KVielhauer CCampisi PDittmann JCraver S(2010)Reverse-engineer methods on a biometric hash algorithm for dynamic handwritingProceedings of the 12th ACM workshop on Multimedia and security10.1145/1854229.1854244(67-72)Online publication date: 9-Sep-2010
https://dl.acm.org/doi/10.1145/1854229.1854244
Kümmel KVielhauer CScheidat TFranke DDittmann J(2010)Handwriting biometric hash attackProceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security10.1007/978-3-642-13241-4_17(178-190)Online publication date: 31-May-2010
https://dl.acm.org/doi/10.1007/978-3-642-13241-4_17
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Index Terms

Synthetic Fingerprint-Image Generation
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

Index terms have been assigned to the content through auto-classification.

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ICPR '00: Proceedings of the International Conference on Pattern Recognition - Volume 3

September 2000

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IEEE Computer Society

United States

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Published: 03 September 2000

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Wang LBhattacharjee NSrinivasan BRahayu WPardede ECuong NTaniar D(2011)A novel technique for singular point detection based on Poincaré indexProceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia10.1145/2095697.2095703(12-18)Online publication date: 5-Dec-2011
https://dl.acm.org/doi/10.1145/2095697.2095703
Kümmel KVielhauer CCampisi PDittmann JCraver S(2010)Reverse-engineer methods on a biometric hash algorithm for dynamic handwritingProceedings of the 12th ACM workshop on Multimedia and security10.1145/1854229.1854244(67-72)Online publication date: 9-Sep-2010
https://dl.acm.org/doi/10.1145/1854229.1854244
Kümmel KVielhauer CScheidat TFranke DDittmann J(2010)Handwriting biometric hash attackProceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security10.1007/978-3-642-13241-4_17(178-190)Online publication date: 31-May-2010
https://dl.acm.org/doi/10.1007/978-3-642-13241-4_17
Cappelli RMaio DMaltoni DWayman JJain A(2006)Performance Evaluation of Fingerprint Verification SystemsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2006.2028:1(3-18)Online publication date: 1-Jan-2006
https://dl.acm.org/doi/10.1109/TPAMI.2006.20
Sumi KLiu CMatsuyama T(2006)Study on synthetic face database for performance evaluationProceedings of the 2006 international conference on Advances in Biometrics10.1007/11608288_79(598-604)Online publication date: 5-Jan-2006
https://dl.acm.org/doi/10.1007/11608288_79
Jain AUludag U(2003)Hiding Biometric DataIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2003.124012225:11(1494-1498)Online publication date: 1-Nov-2003
https://dl.acm.org/doi/10.1109/TPAMI.2003.1240122
Maio DMaltoni DCappelli RWayman JJain A(2002)FVC2000IEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.99014024:3(402-412)Online publication date: 1-Mar-2002
https://dl.acm.org/doi/10.1109/34.990140

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Fingerprint Image Enhancement: Algorithm and Performance Evaluation

Fingerprint image: pre- and post-processing

Adaptive fingerprint image enhancement with fingerprint image quality analysis

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