An automatic face detection and gender identification from color images using logistic regression

Md Hafizur Rahman; Md Abul Bashar; Fida Hasan Md Rafi; Tasmia Rahman; Abu Farzan Mitul

doi:10.1109/ICIEV.2013.6572576

An automatic face detection and gender identification from color images using logistic regression

Md Hafizur Rahman, Md Abul Bashar, Fida Hasan Md Rafi, Tasmia Rahman, Abu Farzan Mitul

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

5 Citations (Scopus)

Abstract

Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. We preprocess the facial region by convolving with Gabor filters at five scales and eight orientations. We sample these responses and use them to form a feature vector. We use a classifier based on an additive sum of non-linear functions.

Original language	English
Title of host publication	ICIEV 2013
Subtitle of host publication	Proceedings of the 2nd International Conference on Informatics, Electronics and Vision
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781479904006, 9781479903993
ISBN (Print)	9781479903979
DOIs	https://doi.org/10.1109/ICIEV.2013.6572576
Publication status	Published - 2013
Externally published	Yes
Event	2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 - Dhaka, Bangladesh Duration: 17 May 2013 → 18 May 2013

Other

Other	2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013
Country/Territory	Bangladesh
City	Dhaka
Period	17/05/13 → 18/05/13

Keywords

face detection
feature selection
gabor filter
gender identification
logistic regression

Access to Document

10.1109/ICIEV.2013.6572576

Cite this

Rahman, M. H., Bashar, M. A., Rafi, F. H. M., Rahman, T., & Mitul, A. F. (2013). An automatic face detection and gender identification from color images using logistic regression. In ICIEV 2013: Proceedings of the 2nd International Conference on Informatics, Electronics and Vision (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIEV.2013.6572576

@inproceedings{02fb3867349f4aa0a1d78eb9c56eaabc,

title = "An automatic face detection and gender identification from color images using logistic regression",

abstract = "Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. We preprocess the facial region by convolving with Gabor filters at five scales and eight orientations. We sample these responses and use them to form a feature vector. We use a classifier based on an additive sum of non-linear functions.",

keywords = "face detection, feature selection, gabor filter, gender identification, logistic regression",

author = "Rahman, {Md Hafizur} and Bashar, {Md Abul} and Rafi, {Fida Hasan Md} and Tasmia Rahman and Mitul, {Abu Farzan}",

year = "2013",

doi = "10.1109/ICIEV.2013.6572576",

language = "English",

isbn = "9781479903979",

pages = "1--6",

booktitle = "ICIEV 2013",

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

address = "United States",

note = "2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 ; Conference date: 17-05-2013 Through 18-05-2013",

}

Rahman, MH, Bashar, MA, Rafi, FHM, Rahman, T & Mitul, AF 2013, An automatic face detection and gender identification from color images using logistic regression. in ICIEV 2013: Proceedings of the 2nd International Conference on Informatics, Electronics and Vision. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1-6, 2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013, Dhaka, Bangladesh, 17/05/13. https://doi.org/10.1109/ICIEV.2013.6572576

An automatic face detection and gender identification from color images using logistic regression. / Rahman, Md Hafizur; Bashar, Md Abul; Rafi, Fida Hasan Md et al.

ICIEV 2013: Proceedings of the 2nd International Conference on Informatics, Electronics and Vision. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 1-6.

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

TY - GEN

T1 - An automatic face detection and gender identification from color images using logistic regression

AU - Rahman, Md Hafizur

AU - Bashar, Md Abul

AU - Rafi, Fida Hasan Md

AU - Rahman, Tasmia

AU - Mitul, Abu Farzan

PY - 2013

Y1 - 2013

N2 - Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. We preprocess the facial region by convolving with Gabor filters at five scales and eight orientations. We sample these responses and use them to form a feature vector. We use a classifier based on an additive sum of non-linear functions.

AB - Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender and age. This paper presents a face detection and gender identification task of discriminating between images of faces of men and women from face images under non-uniform background. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. We preprocess the facial region by convolving with Gabor filters at five scales and eight orientations. We sample these responses and use them to form a feature vector. We use a classifier based on an additive sum of non-linear functions.

KW - face detection

KW - feature selection

KW - gabor filter

KW - gender identification

KW - logistic regression

UR - http://www.scopus.com/inward/record.url?scp=84883404296&partnerID=8YFLogxK

U2 - 10.1109/ICIEV.2013.6572576

DO - 10.1109/ICIEV.2013.6572576

M3 - Conference proceeding contribution

AN - SCOPUS:84883404296

SN - 9781479903979

SP - 1

EP - 6

BT - ICIEV 2013

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013

Y2 - 17 May 2013 through 18 May 2013

ER -

Rahman MH, Bashar MA, Rafi FHM, Rahman T, Mitul AF. An automatic face detection and gender identification from color images using logistic regression. In ICIEV 2013: Proceedings of the 2nd International Conference on Informatics, Electronics and Vision. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2013. p. 1-6 https://doi.org/10.1109/ICIEV.2013.6572576

An automatic face detection and gender identification from color images using logistic regression

Abstract

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this