Illumination Invariant Face Recognition : Using Local Binary and Local Ternary Pattern Fusion

ISBN-13: 9786202054836 / Angielski / Miękka / 2017 / 88 str.

Reecha Sharma; Swati Manhotra

Opis

In this book an in-depth study of the state-of-art illumination invariant face recognition techniques have been carried out and a method based on the fusion of two different feature extraction techniques is proposed to overcome the adverse illumination conditions. The proposed system uses the gradient based illumination normalization to remove the illuminance component superiority. To obtain the illumination insensitive face representation, a ratio of the gradient amplitude to the original image intensity is obtained. The facial features are extracted using two different feature extraction techniques. Local binary pattern (LBP) is a very efficient local texture descriptor based on thresholding the pixels in a small neighborhood based on the value of the center pixel. Local ternary pattern (LTP) is a noise resistant modified version of LBP. The features vectors provided by the two techniques are fused at feature level. Finally artificial neural network is used in the classification stage for recognition purpose.

O autorze

She is working as Assistant Professor in ECE department Punjabi University Patiala, India. She has eleven years of teaching experience. She has published More than 60 research papers. She has guided 26 M.Tech. students. She has published 7 ebooks. She is professional member of IEEE, IFERP and IAENG. Her area of specialization are DIP and DSP.