More Web Proxy on the site http://driver.im/

article

Robust partial fingerprint recognition using wavelet SIFT descriptors

Authors:

Ashok Aravindan,

S. M. AnzarAuthors Info & Claims

Pattern Analysis & Applications, Volume 20, Issue 4

Pages 963 - 979

https://doi.org/10.1007/s10044-017-0615-x

Published: 01 November 2017 Publication History

Abstract

Even though there have been many advancements in the fingerprint identification, matching of the partial and overlapped fingerprints is yet to be resolved. This problem has drawn more attention with the evolution of small-sized scanners. The research attempts to resolve this issue whenever there are no core points available in the partial fingerprints. Moreover, the scaled or rotated versions of the image may also lead to poor matching performance. In order to overcome these challenges, a robust partial fingerprint matching method using the scale-invariant feature transform (SIFT) features of the wavelet decomposed image is proposed. The performance of the proposed method is compared with the baseline (minutiae) and the state-of-the-art (SIFT) techniques for partial fingerprint recognition. The method is experimented for different cropped levels (horizontal, vertical, diagonal, quadrant-wise random cuts and the region around a core point) of the image. Experimental studies with 100 subjects show that the proposed method improves recognition accuracy and reduces false acceptance rate (FAR) and false rejection rate (FRR) even for images with 75% occlusion.

References

[1]

Anzar SM et al (2004) Efficient online and offline template update mechanisms for speaker recognition. Comput Electr Eng 50:10---25.

Digital Library

[2]

Anzar SM, Sathidevi PS (2013) Adaptive score level fusion of fingerprint and voice combining wavelets and separability measures. AEU-Int J Electron Commun 67:733---742.

[3]

Anzar SM, Sathidevi PS (2014) On combining multi-normalization and ancillary measures for the optimal score level fusion of fingerprint and voice biometrics. EURASIP J Adv Signal Process 2014:1---7.

[4]

CASIA-FingerprintV5, http://biometrics.idealtest.org/

[5]

Chen F, Zhou J (2012) On the influence of fingerprint area in partial fingerprint recognition. In: Chinese conference on biometric recognition. Springer, pp 104---111

Digital Library

[6]

Chen Y, Jain AK (2007) Dots and incipients: extended features for partial fingerprint matching. In: Biometrics symposium. IEEE, pp 1---6

[7]

Choi Kyoungtaek et al (2007) Fingerprint image mosaicking by recursive ridge mapping. IEEE Trans Syst Man Cybern Part B Cybern 37:1191---1203.

Digital Library

[8]

Conti Vincenzo et al (2013) An advanced technique for user identification using partial fingerprint. In: 2013 seventh international conference on complex, intelligent, and software intensive systems (CISIS). IEEE, pp, 236---242

Digital Library

[9]

Jain AK et al (2004) An introduction to biometric recognition. IEEE Trans Circuits Syst Video Technol 14:4---20.

Digital Library

[10]

Jea T-Y et al (2005) A minutia-based partial fingerprint recognition system. Pattern Recognit 38:1672---1684.

Digital Library

[11]

Karu K, Jain AK (1996) Fingerprint classification. Pattern Recognit 29:389---404.

[12]

Kryszczuk KM, Morier P, Drygajlo A (2004) Study of the distinctiveness of level 2 and level 3 features in fragmentary fingerprint comparison, In: Maltoni D, Jain AK (eds) Biometric Authentication. BioAW 2004. Lecture Notes in Computer Science, vol 3087. Springer, Berlin, Heidelberg.

[13]

Lowe DG (1999) Object recognition from local scale-invariant features. In: The proceedings of the seventh IEEE international conference on computer vision. IEEE, pp 1150---1157

Digital Library

[14]

Lowe David G (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60:91---110.

Digital Library

[15]

Maio D, Maltoni D, Cappelli R, Wayman JL, Jain AK (2002) FVC2002: Second fingerprint verification competition. In: Proceedings 16th international conference on pattern recognition, IEEE, Québec City, vol 3, pp 811---814

Digital Library

[16]

Malathi S et al (2010) An efficient method for partial fingerprint recognition based on local binary pattern. In: 2010 IEEE international conference on communication control and computing technologies (ICCCCT). IEEE, pp 569---572

[17]

Maltoni D, Maio D, Jain AK, Prabhakar S (2009) Handbook of fingerprint recognition. Springer, Berlin

Digital Library

[18]

Mikolajczyk K, Schmid C (2002) An affine invariant interest point detector. In: European conference on computer vision. Springer, pp 128---142

Digital Library

[19]

Mil'shtein S, Pillai A, Shendye A, Liessner C, Baier M (2008) Fingerprint recognition algorithms for partial and full fingerprints. In: IEEE conference on technologies for homeland security. IEEE, pp 449---452

[20]

Nadipally M, Govardhan A, Satyanarayana C (2013) Partial fingerprint matching using projection based weak descriptor. In: International conference on signal processing image processing and pattern recognition (ICSIPR). IEEE, pp 336---341

[21]

Pornpanomchai C, Phaisitkulwiwat A (2010) Fingerprint recognition by euclidean distance. In: Second international conference on computer and network technology (ICCNT). IEEE, pp 437---441

Digital Library

[22]

Raja KB et al (2010) Fingerprint recognition using minutia score matching. arXiv preprint arXiv:1001.4186 1: 35---42

[23]

Soman KP et al (2010) Insight into WAVELETS: from theory to practice. 3rd edn. Prentice Hall India Learning Private Limited, Delhi-110 092, India

[24]

Virginia E (2002) A minutiae detection algorithm for fingerprint pattern recognition. IEEE Syst Mag 67:1---7.

[25]

Weaver AC (2006) Biometric authentication. Computer 39:96---97.

Digital Library

[26]

Zanganeh O et al (2014) Partial fingerprint matching through region-based similarity. In: International conference on digital image computing: techniques and applications (DLCTA). IEEE, pp 1---8

[27]

Zuchun D (2013) An effective keypoint selection algorithm in SIFT. Int J Signal Process Image Process Pattern Recognit 6(2):155---164

Cited By

Joshi MMazumdar BDey S(2024)A novel minutiae-oriented approach for partial fingerprint-based MasterPrint mitigationPattern Recognition10.1016/j.patcog.2023.109935145:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.patcog.2023.109935
Panthakkan AAnzar SAl Mansoori SMansoor WAl Ahmad H(2022)A systematic comparison of transfer learning models for COVID-19 predictionIntelligent Decision Technologies10.3233/IDT-22001716:3(557-574)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-220017
Hendre MPatil SAbhyankar A(2022)Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive SIFT keypoint fusionMultimedia Tools and Applications10.1007/s11042-021-11686-281:12(17483-17507)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-021-11686-2
Show More Cited By

Robust partial fingerprint recognition using wavelet SIFT descriptors
1. Computing methodologies

Recommendations

On the influence of fingerprint area in partial fingerprint recognition
CCBR'12: Proceedings of the 7th Chinese conference on Biometric Recognition

Conventional algorithms for fingerprint recognition are mainly based on minutiae information. However, the small number of minutiae in partial fingerprints is still a challenge in fingerprint matching. In fingerprint recognition systems, there are ...
Level 2 features and wavelet analysis based hybrid fingerprint matcher
COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute Conference

In this work, we present a hybrid fingerprint verification system based on Level 2 features i.e. minutiae and multiresolution analysis of fingerprint images. Systems based only on minutiae features do not perform well for poor quality images. In ...
Partial fingerprint matching using minutiae and ridge shape features for small fingerprint scanners

New partial fingerprint-matching for small sensors in mobile devices is proposed.The method incorporates new ridge shape features (RSFs) in addition to minutiae.RSFs represent small ridge segments where specific edge shapes are observed.These edge ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Pattern Analysis & Applications

Pattern Analysis & Applications Volume 20, Issue 4

November 2017

396 pages

ISSN:1433-7541

EISSN:1433-755X

Issue’s Table of Contents

Copyright © Copyright © 2017 Springer-Verlag London Ltd.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 November 2017

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Joshi MMazumdar BDey S(2024)A novel minutiae-oriented approach for partial fingerprint-based MasterPrint mitigationPattern Recognition10.1016/j.patcog.2023.109935145:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.patcog.2023.109935
Panthakkan AAnzar SAl Mansoori SMansoor WAl Ahmad H(2022)A systematic comparison of transfer learning models for COVID-19 predictionIntelligent Decision Technologies10.3233/IDT-22001716:3(557-574)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-220017
Hendre MPatil SAbhyankar A(2022)Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive SIFT keypoint fusionMultimedia Tools and Applications10.1007/s11042-021-11686-281:12(17483-17507)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-021-11686-2
Hendre MPatil SAbhyankar A(2022)Directional filter bank-based fingerprint image qualityPattern Analysis & Applications10.1007/s10044-021-01042-325:2(379-393)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s10044-021-01042-3
Mashhadi P(2019)Boosted Test-FDAPattern Analysis & Applications10.1007/s10044-018-0710-722:1(115-131)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s10044-018-0710-7
Khodadoust JKhodadoust A(2018)Partial fingerprint identification for large databasesPattern Analysis & Applications10.1007/s10044-017-0665-021:1(19-34)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10044-017-0665-0
Rani RKumar RSingh A(2018)An empirical evaluation of translational and rotational invariance of descriptors and the classification of flower datasetPattern Analysis & Applications10.1007/s10044-017-0641-821:1(1-18)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10044-017-0641-8

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents