Citation

Salman, Ghalib Ahmed and Sameh Arif, Arif and Mansor, Sarina (2025) Corresponding Influence of Gender variation and Age Progression on Result Performance of Each Other. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

Human face is used as a pivotal subject in different recognition issues such as age estimation and gender recognition, which makes studying each of them affected by the other since they share the same biometric details. This paper translates facial softness into topographic features describing and statistical measures that examine the image-value variance in different ways. Face roughness demonstrates different patterns of age and gender. The primary hypothesis of this paper posits that female faces exhibit greater softness than male faces, and younger faces tend to be softer than older ones. Different topographical features and statistical laws were adopted to represent the variance between image values. These measures depend on differences between values rather than the values themselves, providing robustness against illumination and rotation and facilitating dimension reduction for image size to produce a set of significant features for facial images. Additionally, this work adopted topographical features that recorded significant recognition performance. Besides, this paper employs localized variations to inspect the local effects of each part of the human face. The results indicate mutual effects between gender and age classification, revealing significant differences in age estimation between male and female faces. Moreover, gender recognition for younger faces differs notably from older age stages.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Face biometrics, statistical measure
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 04:26
Last Modified:	18 Mar 2026 04:43
URII:	http://shdl.mmu.edu.my/id/eprint/15532

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