A gender classification method using age information

Jun Beom Ko; Wonjune Lee; Sung Eun Choi; Jahie Kim

doi:10.1109/ELINFOCOM.2014.6914362

A gender classification method using age information

Jun Beom Ko, Wonjune Lee, Sung Eun Choi, Jahie Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Facial features used for gender classification are affected by their aging process, because human's face is gradually changed as they grow up. Thus, in this paper, we propose a gender classification method robust to age variation by using age information and two facial features: appearance and geometry feature. Local Binary Patterns (LBP) is used as an appearance feature to classify gender of young and adult age group, and Euclidean distance among facial feature points is used as a geometry feature to classify gender of old age group. Experimental results showed that performance of our proposed method is increased about 2% compared to gender classification without using age information.

Original language	English
Title of host publication	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479939428
DOIs	https://doi.org/10.1109/ELINFOCOM.2014.6914362
Publication status	Published - 2014 Sept 30
Event	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Kota Kinabalu, Malaysia Duration: 2014 Jan 15 → 2014 Jan 18

Publication series

Name	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

Other

Other	13th International Conference on Electronics, Information, and Communication, ICEIC 2014
Country/Territory	Malaysia
City	Kota Kinabalu
Period	14/1/15 → 14/1/18

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ELINFOCOM.2014.6914362

Cite this

Beom Ko, J., Lee, W., Choi, S. E., & Kim, J. (2014). A gender classification method using age information. In 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings [6914362] (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELINFOCOM.2014.6914362

Beom Ko, Jun ; Lee, Wonjune ; Choi, Sung Eun et al. / A gender classification method using age information. 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings).

@inproceedings{748dc4d04db546a18279b9d3bbce2e69,

title = "A gender classification method using age information",

abstract = "Facial features used for gender classification are affected by their aging process, because human's face is gradually changed as they grow up. Thus, in this paper, we propose a gender classification method robust to age variation by using age information and two facial features: appearance and geometry feature. Local Binary Patterns (LBP) is used as an appearance feature to classify gender of young and adult age group, and Euclidean distance among facial feature points is used as a geometry feature to classify gender of old age group. Experimental results showed that performance of our proposed method is increased about 2% compared to gender classification without using age information.",

author = "{Beom Ko}, Jun and Wonjune Lee and Choi, {Sung Eun} and Jahie Kim",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 ; Conference date: 15-01-2014 Through 18-01-2014",

year = "2014",

month = sep,

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doi = "10.1109/ELINFOCOM.2014.6914362",

language = "English",

series = "13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings",

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Beom Ko, J, Lee, W, Choi, SE & Kim, J 2014, A gender classification method using age information. in 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings., 6914362, 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 13th International Conference on Electronics, Information, and Communication, ICEIC 2014, Kota Kinabalu, Malaysia, 14/1/15. https://doi.org/10.1109/ELINFOCOM.2014.6914362

A gender classification method using age information. / Beom Ko, Jun; Lee, Wonjune; Choi, Sung Eun et al.
13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6914362 (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A gender classification method using age information

AU - Beom Ko, Jun

AU - Lee, Wonjune

AU - Choi, Sung Eun

AU - Kim, Jahie

PY - 2014/9/30

Y1 - 2014/9/30

N2 - Facial features used for gender classification are affected by their aging process, because human's face is gradually changed as they grow up. Thus, in this paper, we propose a gender classification method robust to age variation by using age information and two facial features: appearance and geometry feature. Local Binary Patterns (LBP) is used as an appearance feature to classify gender of young and adult age group, and Euclidean distance among facial feature points is used as a geometry feature to classify gender of old age group. Experimental results showed that performance of our proposed method is increased about 2% compared to gender classification without using age information.

AB - Facial features used for gender classification are affected by their aging process, because human's face is gradually changed as they grow up. Thus, in this paper, we propose a gender classification method robust to age variation by using age information and two facial features: appearance and geometry feature. Local Binary Patterns (LBP) is used as an appearance feature to classify gender of young and adult age group, and Euclidean distance among facial feature points is used as a geometry feature to classify gender of old age group. Experimental results showed that performance of our proposed method is increased about 2% compared to gender classification without using age information.

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M3 - Conference contribution

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T3 - 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

BT - 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Beom Ko J, Lee W, Choi SE, Kim J. A gender classification method using age information. In 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6914362. (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings). doi: 10.1109/ELINFOCOM.2014.6914362

A gender classification method using age information

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