文章基本信息

标题：ROTATION INVARIANT FACE RECOGNITION USING JACOBI �FOURIER MOMENTS
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作者：DR ALI MOHAMMED SAHAN ; ALI SAMI AZEEZ ; MOHAMMED FADHIL IBRAHIM 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1444-1456
出版社：Journal of Theoretical and Applied
摘要：The face image comprises different global and local details related to the whole and different local areas of the face image, therefore extract global features from the local areas leads to provide distinct distinguishing of the face images. In this, work a face recognition approach based on Jacobi-Fourier moments has been presented. Jacobi-Fourier moments used to provide global and distinct features about local areas in the face image. These features are used to construct histogram bins. Extensive experiments are carried out using different standard face database such as ORL, JAFEE and UMIST which are contain large variability in facial expression, pose and illumination. The experimental analysis refers that the proposed approach outperforms the traditional method under pose, facial expression, and different variations as well as it rotation invariant.
关键词：Rotation Invariant; Face Recognition; Jacobi;Fourier Moments; Global Features; Local Features