Improving Spectroface using Pre-processing and Voting

被引：0

作者：

Santos, Ricardo ^{[1
]}

Alexandre, Luis A. ^{[1
]}

机构：

[1] Univ Beira Interior, Dept Informat, Covilha, Portugal

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 4 | 2009年

关键词：

FACE RECOGNITION;

D O I：

10.1109/ICICISYS.2009.5357611

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present pre-processing steps and a voting scheme that improve the effectiveness of the spectroface approach. It consists on a series of pre-processing steps prior to spectroface togheter with a texture feature that are used independently. The classifier output for each of the 13 features is fused using a majority voting scheme coupled with rules for ties and strong features. Yale (15 subjects), Olivetti (40 subjects) and Notre Dame (487 subjects) face databases are selected to evaluate the proposed method yielding 97.33, 85.28 and 75.91% accuracy, respectively, using only one training image per subject.

引用

页码：552 / 556

页数：5

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