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Hybrid Face Recognition with Locally Discriminating Projection
Published in: · Proceeding: ICSAP '10 Proceedings of the 2010 International Conference on Signal Acquisition and Processing Pages 327-331 February 09 - 10, 2010
IJACSA_SpecialIssueNo3 | Applied Mathematics | Areas Of ...
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Abstract: Human face recognition is, indeed, a challenging task, especially under illumination and pose variations.We examine in the present paper effectiveness of two simple algorithms using coiflet packet and Radon transforms to recognize human faces from some databases of still gray level images, under the environment of illumination and pose variations.
Image Retrieval with Texture Features Extracted using ...
In this paper novel methods for image retrieval based on texture feature extraction using Vector Quantization (VQ) are proposed. We have used Linde-Buzo-Gray (LBG), and Kekre’s Median Codebook Generation (KMCG) algorithms for texture feature extraction. The image is first divided into blocks of size 2x2 pixels (each pixel with red, green and blue component). A training vector of dimensions ......
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International Journal of Image Processing (IJIP) Volume (4 ...
377 – 389 Performance Comparison of Face Recognition Using DCT Against Face Recognition Using Vector Quantization Algorithms LBG, KPE, KMCG, KFCG Shachi J. Natu, Prachi J. Natu, Tanuja K. Sarode, H. B. Kekre. 390 – 400 A Novel Method for De-warping in Persian document images
Comparative Performance of Information Hiding in Vector ...
In traditional VQ - data hiding schemes secret data is hidden inside index based cover image resulting in limited embedding capacity. To improve the embedding capacity as well as to have minimum distortion to carrier media, we have proposed one novel method of hiding secret data into the codebook. In this paper we have used four different algorithms Linde Buzo and Gray (LBG), Kekre’s ...
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