Gender Classification Based on Binary Haar Cascade

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014Publisher:IACSIT PressJournal:International Journal of Computer and Communication Engineering, volume 3, pages 105-108 (issn: 2010-3743,

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Authors: Mustafa E. Yildirim; J. S. Park; J. Song; B. W. Yoon;

doi: 10.7763/ijcce.2014.v3.301

Gender Classification Based on Binary Haar Cascade

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Abstract

The present invention relates to a gender classification method based on a binary haar cascade. More particularly, the gender classification method based on a binary haar cascade detects a pedestrian region from a screen image after learning the features of women such as female images, makeup, hair styles, ear rings, or glasses types, determines whether there are the features of women from the pedestrian region, and distinguishes the sex of pedestrians by displaying detection for the heads of the pedestrians in the pedestrian region of the screen image when the features of the women exist.

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