期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2017
卷号：8
期号：5
页码：13
DOI：10.5121/sipij.2017.8502
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Face image is an efficient biometric trait to recognize human beings without expecting any co-operationfrom a person. In this paper, we propose HVDLP: Horizontal Vertical Diagonal Local Pattern based facerecognition using Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP). The face images ofdifferent sizes are converted into uniform size of 108×990and color images are converted to gray scaleimages in pre-processing. The Discrete Wavelet Transform (DWT) is applied on pre-processed images andLL band is obtained with the size of 54×45. The Novel concept of HVDLP is introduced in the proposedmethod to enhance the performance. The HVDLP is applied on 9×9 sub matrix of LL band to considerHVDLP coefficients. The local Binary Pattern (LBP) is applied on HVDLP of LL band. The final featuresare generated by using Guided filters on HVDLP and LBP matrices. The Euclidean Distance (ED) is usedto compare final features of face database and test images to compute the performance parameters.
