Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Occlusion-Robust Face Detection Using Shallow and Deep Proposal Based Faster R-CNN Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Palmprint Recognition via Sparse Coding Spatial Pyramid Matching Representation of SIFT Feature

Authors : Ligang Liu, Jianxin Zhang, Aoqi Yang

Published in: Biometric Recognition

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Spatial pyramid matching using sparse coding (ScSPM) algorithm can construct the palmprint image descriptors which may effectively express local features and global features of palmprint image. In the paper, we adopt sparse coding and max pooling instead of vector quantization coding and sum pooling to extract descriptors, and it improves the nonlinear coding to linear coding. Then, the linear SVM classifier is applied to replace the nonlinear classifier in pyramid matching. We apply this algorithm to the recognition of palmprint images and exactly analyze the effects of parameters on the recognition, including the size of a complete dictionary and sparse coding parameter. The experimental results illuminate the excellent effectiveness of the ScSPM algorithm for palmprint recognition.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter A Preprocessing Algorithm for Touchless Fingerprint Images
next chapter A Finger Vein Identification System Based on Image Quality Assessment
Literature
1.
Lu, Z., Wang, L., Wen, J.: Image classification by visual bag-of-words refinement and reduction. Neurocomputing 173, 373–384 (2016)CrossRef
2.
Wang, F., Zhao, W., Ngo, C.W., et al.: A hamming embedding kernel with informative bag-of-visual words for video semantic indexing. ACM Trans. Multimedia Comput. Commun. Appl. 3(10) (2014)
3.
Jia, W., Hu, R.X., Lei, Y.K., et al.: Histogram of oriented lines for palmprint recognition. IEEE Trans. Syst. Man Cybern. Syst. 44, 385–395 (2014)CrossRef
4.
Csurka, G., Dance, C.R., Fan, L., et al.: Visual categorization with bags of keypoints. In: ECCV (2004)
5.
Schmid, C., Lazebnik, S., Ponce, J.: Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: Proceedings of CVPR 2006, vol. 2, pp. 2169–2178 (2006)
6.
Peng, X., Yan, R., Zhao, B.: Fast low rank representation based spatial pyramid matching for image classification. Knowl. Based Syst. 10(16), 817–828 (2015)
7.
Mei, X., Ma, Y., Li, C.: A real-time infrared ultra-spectral signature classification method via spatial pyramid matching. Sensors 29, 79–88 (2015)
8.
Lu, P., Xu, Z., Yu, H., Chang, Y., et al.: Object class recognition based on compressive sensing with sparse features inspired by hierarchical model in visual cortex. In: Proceedings of the SPIE. Optoelectronic Imaging and Multimedia Technology II, vol. 8558, p. 85581X, 30 November 2012
9.
Yu, K., Zhang, T., Gong, Y.H.: Nonlinear learning using local coordinate coding. In: Proceedings of the 2009 Advances in Neural Information Processing Systems, pp. 2223–2231. NIPS, Vancouver (2009)
10.
Luo, Y.T., Zhao, L.Y., Zhang, B., et al.: Local line directional pattern for palmprint recognition. Pattern Recogn. 50, 26–44 (2016)CrossRef
11.
Wu, X., Zhao, Q.: Deformed palmprint matching based on stable regions. IEEE Trans. Image Process. 24, 4978–4989 (2015)MathSciNetCrossRef
12.
Zhang, L., Shen, Y., Li, H., et al.: 3D palmprint identification using block-wise features and collaborative representation. IEEE Trans. Pattern Anal. Mach. Intell. 37(8), 1730–1736 (2015)CrossRef
13.
Yang, J., Yu, K., Gong, Y., Huang, T.: Linear spatial pyramid matching using sparse coding for image classification. In: CVPR (2009)
14.
Xu, Y., Fei, L., Zhang, D.: Combining left and right palmprint images for more accurate personal identification. IEEE Trans. Image Process. 24, 549–559 (2015)MathSciNetCrossRef
15.
Zhao, Z., Ji, H., Gao, J., et al.: Sparse coding based multi-scale spatial latent semantic analysis for image classification. Chin. J. Comput. 37(6), 1251–1260 (2014)
16.
Wang, J., Yang, J., Yu, K., et al.: Locality-constrained linear coding for image classification. In: CVPR (2010)
17.
Liu, P., Liu, G., Guo, M., et al.: Image classification based on non-negative locality-constrained linear coding. Acta Automatica Sin. 41(7), 1235–1243 (2015)
18.
Lee, H., Battle, A., Raina, R., et al.: Efficient sparse coding algorithms. In: Neural Information Processing Systems (2007)
19.
Shang, L., Su, P., Huai, W.: New location method of palmprint ROI images. Laser Infrared 7(42), 815–820 (2012)
20.
Butt, M.A.A., Masood, H., Mumtaz, M., et al.: Palmprint identification using contourlet transform. In: Proceedings of IEEE Conference on Biometrics, Theory, Applications and Systems, pp. 1–5 (2008)
21.
Badrinath, G.S., Gupta, P.: Stockwell transform based palm-print recognition. Appl. Soft Comput. 11(7), 4267–4281 (2011)CrossRef
22.
Meraoumia, A., Chitroub, S., Bouridane, A.: Gaussian modeling and discrete cosine transform for efficient and automatic palmprint identification. In: International Conference on Machine and Web Intelligence (ICMWI), pp. 121–125 (2010)
23.
Saedi, S., Charkari, N.M.: Palmprint authentication based on discrete orthonormal S-Transform. Appl. Soft Comput. 21, 341–351 (2014)CrossRef
24.
Xue, Y., Liu, Y., Liu, C., et al.: Improved BDPCA method for palmprint recognition. Comput. Eng. Appl. 50(15), 150–152 (2014)
Metadata
Title
Palmprint Recognition via Sparse Coding Spatial Pyramid Matching Representation of SIFT Feature
Authors
Ligang Liu
Jianxin Zhang
Aoqi Yang
Copyright Year
2016
Book
Biometric Recognition

Print ISBN: 978-3-319-46653-8

Electronic ISBN: 978-3-319-46654-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46654-5_26

Premium Partner

    Image Credits