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Author:

Jiang, Q.-R. (Jiang, Q.-R..) | Yuan, G. (Yuan, G..)

Indexed by:

Scopus

Abstract:

Gray Scale Kernel has been recently introduced for image recognition tasks. The kernel is proved to be positive definite and thus can be used in Support Vector Machine (SVM) based recognition [1]. In this paper, Profile Histogram Intersection (PHI) kernels, Detail Histogram Intersection (DHI) kernels and Susan Detail Histogram Intersection (SDHI) kernel function are proposed which based on traditional Gray Scale Kernel. In experiments on classification of face images, our SDHI kernel shows higher classification accuracy than PHI and DHI kernels. © 2010 IEEE.

Keyword:

Face recognition; Feature extraction; Histogram intersection kernel; Image histogram; Support vector machines

Author Community:

  • [ 1 ] [Jiang, Q.-R.]College of Computer Science and Technology, BJUT, Beijing, China
  • [ 2 ] [Yuan, G.]College of Computer Science and Technology, BJUT, Beijing, China

Reprint Author's Address:

  • [Jiang, Q.-R.]College of Computer Science and Technology, BJUT, Beijing, China

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Source :

ICIME 2010 - 2010 2nd IEEE International Conference on Information Management and Engineering

Year: 2010

Volume: 1

Page: 222-225

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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