№ lp_2_3_40353
This research paper investigates the use of Dyadic Wavelet Transform and Local Binary Pattern for improving gender recognition accuracy in facial images.
Year: 2021
Region / City: Riyadh, Saudi Arabia
Topic: Gender Recognition, Face Image Analysis
Document Type: Research Paper
Organization / Institution: King Saud University, University of Nevada at Reno
Authors: Ihsan Ullah, Muhammad Hussain, Ghulam Muhammad, Hatim Aboalsamh, George Bebis, Anwar M. Mirza
Target Audience: Researchers, Academics, Computer Vision Specialists
Period of Action: N/A
Approval Date: N/A
Date of Changes: N/A
Price: 8 / 10 USD
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