Musa M.Ameen

Work place: Ishik University/Computer Engineering Department, Erbil, 44001, Iraq



Research Interests: 2D Computer Graphics, Computer Graphics and Visualization, Computer Vision, Computer systems and computational processes


Musa M.Ameen received the B.Sc. degree in Computer Engineering from Ishik University, Iraq in 2013, and M.Sc. degree in Computer Engineering from Mevlana University, Turkey in 2016. Currently, he works as Lecturer at Ishik University, Iraq. His current research interests are biometrics, computer vision, and signal processing.

Author Articles
Score Fusion of SIFT & SURF Descriptors for Face Recognition Using Wavelet Transforms

By Musa M.Ameen Alaa Eleyan

DOI:, Pub. Date: 8 Oct. 2017

Automatic face recognition is a major research area in computer vision which aims to recognize human face without human intervention. Significant developments in this field have shown that in many face recognition applications the automated techniques outperform humans. The conventional Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF) are used in face recognition where they provide high performances. However, this performance can be improved further by transforming the input into different domains before applying SIFT and SURF algorithms. Hence, we apply Discrete Wavelet Transform (DWT) or Gabor Wavelet Transform (GWT) at the input face images, which provides denser and extra information to be used by the conventional SIFT or SURF algorithms. Matching scores of SIFT or SURF from each subimage is fused before making final decision.  Simulations show that the proposed approaches based on wavelet transforms using SIFT or SURF provides very high performance compared to the conventional algorithms.

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