Enhanced constrained local models for gender prediction
نویسندگان
چکیده
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 inherent face variability variety confusing variables such posture, voice, illumination, occlusions. In paper, an integrated mount model created increase power constrained local models, ground-breaking result for feature obtained using model. Furthermore, four classifiers have used in level gender prediction. The results experiment showed that proposed performs admirably.
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ژورنال
عنوان ژورنال: Bulletin of Electrical Engineering and Informatics
سال: 2022
ISSN: ['2302-9285']
DOI: https://doi.org/10.11591/eei.v11i1.2948