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This paper presents a novel scheme for face recognition by fusing local and global discriminant features. It has been observed that facial changes are occurred due to variations in facial expression, illumination condition, pose, etc. and these changes are often appeared only some regions of the whole image. The global features extracted from the whole image are not able to cope with these facial...
This paper presents a novel scheme for feature extraction for face recognition by fusing local and global discriminant features. The facial changes due to variations of pose, illumination, expression, etc. are often appeared only some regions of the whole face image. Therefore, global features extracted from the whole image fail to cope with these variations. To address these problems, face images...
This paper presents a novel Hybrid Approach to Face Recognition using Generalized Two-Dimensional Fisher's Linear Discriminant (HAFR G-2DFLD) Method. It has been seen that the facial changes due to variations of pose, illumination, expression, etc. are appeared only some regions of the whole image. Therefore, the conventional face recognition methods, which use whole image for feature extraction and...
This paper introduces the use of a new method of feature extraction for robust text-independent speaker identification. The focus of this work is on applications which yield higher identification accuracy without increasing the computational effort. The impetus for this new feature extraction technique comes from a new transformation which is based on the Nyquist filter bank. We have proposed this...
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