Classification of Gender and Face Based on Gradient Faces

Dat Tran; Xu Huang; Girija Chetty

doi:10.1109/EuVIP.2011.6045544

Classification of Gender and Face Based on Gradient Faces

Dat Tran, Xu Huang, Girija Chetty

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates

Original language	English
Title of host publication	The 3rd European Workshop on Visual Information Processing
Editors	Azeddine Beghdadi, Abdesselam Bouzerdoum, Giuseppe Boccignone, Mohamed-Chaker Larabi
Place of Publication	Paris
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	269-272
Number of pages	4
Volume	1
ISBN (Print)	9781457700729
DOIs	https://doi.org/10.1109/EuVIP.2011.6045544
Publication status	Published - 2011
Event	European Workshop on Visual Information Processing - Paris, Paris, France Duration: 4 Jul 2011 → 6 Jul 2011

Conference

Conference	European Workshop on Visual Information Processing
Country/Territory	France
City	Paris
Period	4/07/11 → 6/07/11

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10.1109/EuVIP.2011.6045544

Cite this

@inproceedings{5482c1e3b3b84e2a811c0e2d67046b18,

title = "Classification of Gender and Face Based on Gradient Faces",

abstract = "This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates",

keywords = "Face Recognition, Local Binary Pattern",

author = "Dat Tran and Xu Huang and Girija Chetty",

year = "2011",

doi = "10.1109/EuVIP.2011.6045544",

language = "English",

isbn = "9781457700729",

volume = "1",

pages = "269--272",

editor = "Azeddine Beghdadi and Abdesselam Bouzerdoum and Giuseppe Boccignone and Mohamed-Chaker Larabi",

booktitle = "The 3rd European Workshop on Visual Information Processing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "European Workshop on Visual Information Processing ; Conference date: 04-07-2011 Through 06-07-2011",

}

Tran, D , Huang, X & Chetty, G 2011, Classification of Gender and Face Based on Gradient Faces. in A Beghdadi, A Bouzerdoum, G Boccignone & M-C Larabi (eds), The 3rd European Workshop on Visual Information Processing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Paris, pp. 269-272, European Workshop on Visual Information Processing, Paris, France, 4/07/11. https://doi.org/10.1109/EuVIP.2011.6045544

Classification of Gender and Face Based on Gradient Faces. / Tran, Dat ; Huang, Xu ; Chetty, Girija.
The 3rd European Workshop on Visual Information Processing. ed. / Azeddine Beghdadi; Abdesselam Bouzerdoum; Giuseppe Boccignone; Mohamed-Chaker Larabi. Vol. 1 Paris: IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 269-272.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Classification of Gender and Face Based on Gradient Faces

AU - Tran, Dat

AU - Huang, Xu

AU - Chetty, Girija

PY - 2011

Y1 - 2011

N2 - This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates

AB - This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates

KW - Face Recognition

KW - Local Binary Pattern

U2 - 10.1109/EuVIP.2011.6045544

DO - 10.1109/EuVIP.2011.6045544

M3 - Conference contribution

SN - 9781457700729

VL - 1

SP - 269

EP - 272

BT - The 3rd European Workshop on Visual Information Processing

A2 - Beghdadi, Azeddine

A2 - Bouzerdoum, Abdesselam

A2 - Boccignone, Giuseppe

A2 - Larabi, Mohamed-Chaker

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Paris

T2 - European Workshop on Visual Information Processing

Y2 - 4 July 2011 through 6 July 2011

ER -

Classification of Gender and Face Based on Gradient Faces

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