Könyv Human Face Recognition with Support Vector Machines Latha Parthiban

Human Face Recognition with Support Vector Machines

Algorithms and Applications

Szerző: Latha Parthiban
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
19 011 Ft
The computer vision problem of face recognition has over the years become a common high-requirement...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2011
oldal
64
EAN
9783639366990
ISBN
3639366999
Enbook ID
06843506
Kiadó
Súly
104
Méretek
152 x 229 x 4

Teljes leírás

The computer vision problem of face recognition has over the years become a common high-requirement benchmark for machine learning methods. In the last decade, highly efficient face recognition systems have been developed that extensively use the nature of the image domain to achieve accurate real-time performance. The effectiveness of such systems are possible only with the progress of machine learning algorithms. Support vector machine learning is a relatively recent method that offers a good generalization performance in classification problems like face recognition. An algorithm based on Gabor texture information with SVM classifier is demonstrated in this book.The estimated model parameters serve as texture representation and experiments were performed on Yale,ORL and FERET databases to validate the feasibility of the method. The results showed that both Gabor magnitude and Gabor phase based texture representation technique with SVM classifier significantly outperformed the widely used Gabor energy based systems and other existing subspace methods. In addition, the feature level fusion of these two kinds of texture representations performs better than when used individually.

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