nach oben

Neural Computing and Applications

Erschienen in:

01.01.2014 | ICONIP 2012

A palm vein identification system based on Gabor wavelet features

verfasst von: Ran Wang, Guoyou Wang, Zhong Chen, Zhigang Zeng, Yong Wang

Erschienen in: Neural Computing and Applications | Ausgabe 1/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

As a new and promising biometric feature, thermal palm vein pattern has drawn lots of attention in research and application areas. Many algorithms have been proposed for authentication since palm vein has special characteristics, such as liveness detection and hard to forgery. However, the detection accuracy of palm vein quite depends on the preprocessing and feature representation, which is supposed to be translation and rotation invariant to some extent. In this paper, we proposed an effective method for palm vein identification based on Gabor wavelet features which contains five steps: image acquisition, ROI detection, image preprocessing, features extraction, and matching. The 178 palm vein images from 101 persons were used to test the proposed palm vein recognition approach, where 176 images were correctly recognized with two in failure. The experimental results demonstrate the effectiveness of the proposed approach.

Vorheriger Artikel Weak projective lag synchronization of neural networks with parameter mismatch

Nächster Artikel Cuckoo search: recent advances and applications

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Yangqiang Z, Dongmei S, Zhengding Q (2012) Hand-based single sample biometrics recognition. Neural Comput Appl 21(8):1835–1844CrossRef

Soni M, Gupta S, Rao MS, Gupta P (2010) A new vein pattern-based verification system. Int J Comput Sci Inform Secur 8(1):58–63

Doublet J, Lepetit O, Revenu M (2007) Contactless palmprint authentication using circular gabor filter and approximated string matching. In: Proceedings of international conference on signal and image processing (SIP), Honolulu, pp 511–516

Wang L, Leedham G (2005) A thermal hand vein pattern verification system. In: Proceedings of international conference on pattern recognition and image analysis, LNCS 3687, pp 58–65

Chen H-F, Lu G-M, Wang R (2009) A new palm vein matching method based on ICP algorithm. In: Proceedings of international conference on interaction sciences: information technology, culture and human, Seoul, Korea, pp 1207–1211

Li X-Y, Guo S-X, Gao F-L, Li Y (2007) Vein pattern recognitions by moment invariants. In: Proceedings of international conference of bioinformatics and biomedical engineering, Wuhan, China, pp 612–615

Yang JC, Xie SJ, Yoon S, Park DS, Fang ZJ, Yang SY (2013) Fingerprint matching based on extreme learning machine. Neural Comput Appl 22(3–4):435–445CrossRef

Fan KC, Lin CL, Lee WL (2004) Biometric verification using thermal images of palm-dorsa vein patterns. IEEE Trans Circuits Syst Video Technol 14(2):199–213CrossRef

Wang LY, Leedham G, Cho DS (2008) Minutiae feature analysis for infrared hand vein pattern biometrics. Pattern Recogn 41(3):450–453CrossRef

10.

Zhang YB, Li Q, Yan J, Bhattacharya P (2007) Palm vein extraction and matching for personal authentication. In: Proceeding of international conference on advances in visual information systems, LNCS 4781, pp 154–164

11.

Hsu CB, Hao SS, Lee JC (2011) Personal authentication through dorsal hand vein patterns. Opt Eng 50(8):087201.1–087201.10

12.

Wang JG, Yau WY, Suwandy A, Sung E (2008) Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm” representation. Pattern Recogn 41(5):1514–1527CrossRefMATH

13.

Lee JC (2012) A novel biometric system based on palm vein image. Pattern Recogn Lett 33(12):1520–1528CrossRef

14.

Zhang B, Qiao Y (2010) Face recognition based on gradient gabor feature and efficient kernel fisher analysis. Neural Comput Appl 19(4):617–623CrossRefMathSciNet

15.

Liu X, Liu JB (2008) Mammary image enhancement based on contrast limited adaptive histogram equalization. Comput Eng Appl 44(10):173–175

16.

Wang KJ, Ding YH, Zhuang DY, Wang DZ (2005) Threshold segmentation for hand vein image. Tech Autom Appl 24(8):19–22

17.

Gonzalez RC, Woods RE Digital image processing. Published by arrangement with the original publisher, Pearson Education, Inc., publishing as Prentice Hall, ISBN: 0201180758

18.

Suleyman M, Yu FQ, Lambert S (2006) Vein feature extraction using DT-CNNs. Int workshop on cellular neural networks and their applications 1–6

19.

Li Y, Wu GF, Dai GL, Li JJ (2010) A new algorithm to extract contour feature points of palmprint. Microelectron Comput 27(5):90–94

20.

Shen LL, Bai L (2006) A review of Gabor wavelets for face recognition. Pattern Anal Appl 9(2–3):273–292CrossRefMathSciNet

21.

Li JB, Pan JS, Lu ZM (2009) Face recognition using Gabor-based complete kernel fisher discriminant analysis with fractional power polynomial models. Neural Comput Appl 18(6):613–621CrossRef

22.

Arivazhagan S, Ganesan L, Priyal SP (2006) Texture classification using Gabor wavelets based rotation invariant features. Pattern Recogn Lett 27(16):1976–1982CrossRef

Titel: A palm vein identification system based on Gabor wavelet features
verfasst von: Ran Wang
Guoyou Wang
Zhong Chen
Zhigang Zeng
Yong Wang
Publikationsdatum: 01.01.2014
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 1/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-013-1514-8

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Weitere Artikel der Ausgabe 1/2014

Globally optimal selection of web composite services based on univariate marginal distribution algorithm

Robots learn to dance through interaction with humans

A framework for diagnosing cervical cancer disease based on feedforward MLP neural network and ThinPrep histopathological cell image features

Current–voltage modeling of graphene-based DNA sensor

Solution of nonlinear fractional differential equations using an efficient approach

Analyses for L p [a, b]-norm approximation capability of flexible approximate identity neural networks