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 proceedingConference proceeding contribution

4 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 languageEnglish
Title of host publicationICIEV 2013
Subtitle of host publicationProceedings of the 2nd International Conference on Informatics, Electronics and Vision
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781479904006, 9781479903993
ISBN (Print)9781479903979
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013 - Dhaka, Bangladesh
Duration: 17 May 201318 May 2013

Other

Other2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013
CountryBangladesh
CityDhaka
Period17/05/1318/05/13

Keywords

  • face detection
  • feature selection
  • gabor filter
  • gender identification
  • logistic regression

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  • 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). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIEV.2013.6572576