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Improvement Of Gender Recognition Using The Cosfire Filter Framework (Simulations Platform Of Shape-Preserving Regression – Pchip), Virtyt Lesha, Arben Haveri, Jozef Bushati
Improvement Of Gender Recognition Using The Cosfire Filter Framework (Simulations Platform Of Shape-Preserving Regression – Pchip), Virtyt Lesha, Arben Haveri, Jozef Bushati
UBT International Conference
Biometrics is evolving every day more and more in technical sense and consequently faces with further challenges that become sharper. One of these challenges of is gender recognition that finds very important and key applications. In this paper, we consider the gender recognition process implemented through the Cosfire filter applied through Viola-Jones algorithm and simulated through the Matlab platform. Objective of this paper is improving the execution of gender recognition. The database contains 237 images of 128 to 128 pixels, where 128 are males and 109 are females. For each of them, gender recognition is performed by applying current and …