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• W2558778864 abstract "This work presents a new holistic measure for face recognition. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. In the face detection process to identify the face area in face images, Viola-Jones algorithm has been used. Feature extraction is based on performing double-transformation, where discrete Tchebychev transform is performed on the geodesic distance transform of the grayscale image. Structural Similarity (SSIM) is applied to the resulting image double-transform to find matching factor with other image faces in the FEI (Brazilian) database. Performance is measured using a confidence criterion based on the similarity distance between the recognized person (best match) and the next possible ambiguity (second-best match). Simulation results showed that the proposed approach handles the face recognition efficiently as compared with SSIM." @default.
• W2558778864 created "2016-12-08" @default.
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• W2558778864 date "2016-09-01" @default.
• W2558778864 modified "2023-09-25" @default.
• W2558778864 title "Structural Geodesic-Tchebychev Transform: An Image Similarity Measure for Face Recognition" @default.
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• W2558778864 doi "https://doi.org/10.3844/jcssp.2016.464.470" @default.
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