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Decimal value labeling 3.5 Local Binary Pattern (LBP): [19] Texture analysis is important in biometric image analysis and classifications based on local spatial domain intensity variations. The LBP is invariant to illumination variations. The 3×3 matrix is an image is considered and the intensity value pixel values. The Neighbourhood Pixel (NP) values are compared with Centre Pixel(CP) values and converted into Binary Values(BV) based on the equation 1. ! = " 1 # > 0 # < ' …….………………..(8)

Decimal value labeling 3.5 Local Binary Pattern (LBP): [19] Texture analysis is important in biometric image analysis and classifications based on local spatial domain intensity variations. The LBP is invariant to illumination variations. The 3×3 matrix is an image is considered and the intensity value pixel values. The Neighbourhood Pixel (NP) values are compared with Centre Pixel(CP) values and converted into Binary Values(BV) based on the equation 1. ! = " 1 # > 0 # < ' …….………………..(8)

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Face image is an efficient biometric trait to recognize human beings without expecting any cooperation from a person. In this paper, we propose HVDLP: Horizontal Vertical Diagonal Local Pattern based face recognition using Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP). The face images of different sizes are converted into uniform...

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Research
Full-text available
Face image is an efficient biometric trait to recognize human beings without expecting any cooperation from a person. In this paper, we propose HVDLP: Horizontal Vertical Diagonal Local Pattern based face recognition using Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP). The face images of different sizes are converted into uniform...