Research on Face Recognition Algorithm Based on LBP and DT-SVM Decision Tree
نویسندگان
چکیده
منابع مشابه
Face Recognition Based on SVM and 2DPCA
The paper will present a novel approach for solving face recognition problem. Our method combines 2D Principal Component Analysis (2DPCA), one of the prominent methods for extracting feature vectors, and Support Vector Machine (SVM), the most powerful discriminative method for classification. Experiments based on proposed method have been conducted on two public data sets FERET and AT&T; the re...
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This work develops a novel face-based matcher composed of a multi-resolution hierarchy of patch-based feature descriptors for periocular recognition recognition based on the soft tissue surrounding the eye orbit. The novel patch-based framework for periocular recognition is compared against other feature descriptors and a commercial full-face recognition system against a set of four uniquely ch...
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Wavelet Transform is basically used for magnitude depletion. It is used for axing the proportion of picture. Including good multi-resolution and multi-scale analysis, wavelet transform also has the propensity of denoting local signal attribute by using the high and low pass filtering, image can be decomposed into divergent scales of approximation components. But in wavelet transform, the higher...
متن کاملFace Recognition Based on Curvelet Transform and LS-SVM
As a latest multiresolution analysis method, curvelet transform has improved directional elements with anisotropy and better ability to represent sparsely edges and other singularities along curves. To reduce the dimensionality of facial image and improve the recognition rate, a face recognition system based on curvelet transform and Least Square Support Vector Machine (LS-SVM) has been develop...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2018
ISSN: 2475-8841
DOI: 10.12783/dtcse/iceiti2017/18829