Earticle

초록

영어

The face describes the personality of humans and has adequate importance in the identification and verification process. The human face provides, information as age, gender, face expression and ethnicity. Research has been carried out in the area of face detection, identification, verification, and gender classification to correctly identify humans. The focus of this paper is on gender classification, for which various methods have been formulated based on the measurements of face features. An efficient technique of gender classification helps in accurate identification of a person as male or female and also enhances the performance of other applications like Computer-User Interface, Investigation, Monitoring, Business Profiling and Human Computer Interaction (HCI). In this paper, the most prominent gender classification techniques have been evaluated in terms of their strengths and limitations.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Critical Evaluation
 4. Conclusion and Future Work
 References

키워드

Gender Classification Face Detection Face Images Discrete Wavelet Transform DWT Human Computer Interaction HCI Support Vector Machine SVM Principal Component Analysis PCA

저자

• Hira Khalid Khan [ SZABIST, Islamabad, Pakistan ]
• Abdul Salam Shah [ SZABIST, Islamabad, Pakistan ] Corresponding Author
• Muhammad Asim Khan [ FUUAST, Islamabad, Pakistan ]

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