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Soft biometrics: gender recognition from unconstrained face images using local feature descriptor

Gender recognition from unconstrained face images is a challenging task due to the high degree of misalignment, pose, expression, and illumination variation. In previous works, the recognition of gender from unconstrained face images is approached by utilizing image alignment, exploiting multiple sa...

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Bibliographic Details
Main Authors: Arigbabu, Olasimbo Ayodeji, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Yussof, Salman, Mahmood, Saif
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2015
Online Access:http://psasir.upm.edu.my/id/eprint/34788/1/Soft%20biometrics%20gender%20recognition%20from%20unconstrained%20face%20images%20using%20local%20feature%20descriptor.pdf
http://psasir.upm.edu.my/id/eprint/34788/
http://www.jict.uum.edu.my/index.php/previous-issues/143-vol-14-2015
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http://psasir.upm.edu.my/id/eprint/34788/1/Soft%20biometrics%20gender%20recognition%20from%20unconstrained%20face%20images%20using%20local%20feature%20descriptor.pdf
http://psasir.upm.edu.my/id/eprint/34788/
http://www.jict.uum.edu.my/index.php/previous-issues/143-vol-14-2015

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