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All Journal Bulletin of Electrical Engineering and Informatics
Ayah Alsarayreh
Universiti Sultan Zainal Abidin Besut
Electrical & Electronics Engineering

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Enhanced constrained local models for gender prediction Ayah Alsarayreh; Fatma Susilawati Mohamad
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.2948

Abstract

Face land-marking, defined as the detection and positioning of distinctive characteristics, is a crucial goal shared by various organizations, ranging from biometric recognition to mental state comprehension. Despite its apparent simplicity, this problem has been extensively investigated because of inherent face variability and a variety of confusing variables such as posture, voice, illumination, and occlusions. In this paper, an integrated mount model is created to increase the power of constrained local models, and a ground-breaking result for feature detection is obtained using this model. Furthermore, four classifiers have been used in the level of gender prediction. The results of the experiment showed that the proposed model performs admirably.
Co-Authors Fatma Susilawati Mohamad