Recognition of JPEG compressed face images based on statistical methods

被引：94

作者：

Eickeler, S ^{[1
]}

Müller, S ^{[1
]}

Rigoll, G ^{[1
]}

机构：

[1] Univ Duisburg Gesamthsch, Dept Comp Sci, Fac Elect Engn, D-47057 Duisburg, Germany

来源：

IMAGE AND VISION COMPUTING | 2000年 / 18卷 / 04期

关键词：

face recognition; pseudo 2D hidden Markov models; compressed domain recognition;

D O I：

10.1016/S0262-8856(99)00055-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A face recognition system based on 2D DCT features and pseudo 2D Hidden Markov Models is presented. An extension of the system is capable of recognizing faces by using JPEG compressed image data. Experiments to evaluate the proposed approach are carried out on the Olivetti Research Laboratory (ORL) face database. The recognition rates are 100% for the uncompressed original images and 99.5% for JPEG compressed domain recognition. A comparison with other face recognition systems evaluated on the ORL database, shows that these are the best recognition results ever reported on this database. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：279 / 287

页数：9

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