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

Soft biometrics: Gemder 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 sam...

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Bibliographic Details
Main Authors: Arigbabu, Olasimbo Ayodeji, Syed Ahmad, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Yussof, Salman, Mahmood, Saif
Format: Article
Language:English
Published: Universiti Utara Malaysia 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/24083/1/JICT%2014%202015%20111%E2%80%93122.pdf
http://repo.uum.edu.my/24083/
http://jict.uum.edu.my/index.php/previous-issues/143-vol-14-2015
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Institution: Universiti Utara Malaysia
Language: English

Internet

http://repo.uum.edu.my/24083/1/JICT%2014%202015%20111%E2%80%93122.pdf
http://repo.uum.edu.my/24083/
http://jict.uum.edu.my/index.php/previous-issues/143-vol-14-2015

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