Earticle

초록

영어

Classification has emerged as a leading technique for problem solution and optimization. Classification has been used extensively in several problems domain. Automated gender classification is a significant area of research and has great potential. It offers several industrial applications in near future such as monitoring, surveillance, commercial profiling and human computer interaction. Different methods have been proposed for gender classification like gait, iris and hand shape. However, majority of techniques for gender classification are based on facial information. In this paper, a comparative study of gender classification using different techniques is presented. The major emphasis of this work is on the critical evaluation of different techniques used for gender classification. The comparative evaluation has highlighted major strengths and limitations of these existing techniques. Taking an overview of these major problems, our research is focused on summarizing the literature by highlighting its strengths and limitations. This study also presents several future research areas in the domain of gender classification.

목차

Abstract
 1. Introduction
 2. Steps Involved in Gender Classification
 3. Approaches to Gender Classification
  3.1. Geometric Based Features
  3.2. Appearance Based Features
 4. Literature Review
 5. Critical Evaluation
 6. Conclusion and Future Work
 References

키워드

저자

• Sajid Ali Khan [ Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST) ]
• Muhammad Nazir [ PMAS University of Arid Agriculture Rawalpindi, Pakistan ]
• Naveed Riaz [ Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST) ]
• Nawazish Naveed [ PMAS University of Arid Agriculture Rawalpindi, Pakistan ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605