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Paper Details

Paper Title
Face Recognition Using Hybrid Local Descriptors with Automated Detection
Recognizing object classes in real-world images are a highly eminence targets in Computer vision. Conceptually, this is challenging due to large appearance variations of object instances belonging to the same class.The paper illustrate an automated system based on face recognition using discriminative robust local binary pattern and local directional pattern descriptors. The proposed system incorporates face detection, Features extraction and matching. The viola jones algorithm is used to detect the faces from the vision toolbox. In feature extraction stage, the discriminative robust local binary pattern (DRLBP) is worn intended for contrastive face texture and edge shape .A DRLDP technique measures the edge respond values in all eight directions at every pixel point and induces a code from the respective strength magnitude.The simulated results will be shown that used methodologies have better discriminatory power and recognition accuracy compared with prior approaches.
Face recognition, feature extraction, Viola jones, DRLBP, DRLDP
Others Details
Paper Id : 19078
Author Name : G.Archana
Co-Author Name(s) : K.Aparna
Volume/Issue No : Volume 04 Issue 10
Page No : 97-102
DOI Number : DOI:10.21090/IJAERD.19078
Publication Date : 2017-10-10
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website :
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406