Earticle

초록

영어

In this paper, a two step efficient pose based gender classification technique has been presented. In first step, the proposed technique uses different type of features for pose classification which classifies the input image as frontal or side pose image. Based on pose classification result, gender classification is performed in the second step. Two different types of gender classifiers have been proposed for both side pose and frontal images which use the image and pose classification result as input and classifies the image as male or female. The proposed technique is tested over standard datasets using well known quantitative measures. Results show that the proposed technique gives superior performance than the existing techniques.

목차

Abstract
 1. Introduction
 2. Proposed Method
 3. Experimental Results & Discussion
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Muhammad Nazir [ National University of Computer and Emerging Sciences, FAST AK Brohi Road H-11/4, Islamabad, Pakistan ]
• Anwar. M. Mirza [ Department of Computer Engineering, College Of Computer and Information Sciences, King Saud University, P.O Box. 2454, Riyadh 1154, Saudi Arabia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605