Face Recognition Using Hybrid Local Descriptors with Automated Detection
| Author(s) | : | G.Archana, K.Aparna |
| Institution | : | Dept of E.C.E , JNTUA College of Engineering , Pulivendula |
| Published In | : | Vol. 4, Issue 10 — October 2017 |
| Page No. | : | 97-102 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
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 anautomated system based on face recognition using discriminative robust local binary pattern and local directional patterndescriptors. The proposed system incorporates face detection, Features extraction and matching. The viola jones algorithm isused 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 respondvalues in all eight directions at every pixel point and induces a code from the respective strength magnitude.The simulatedresults will be shown that used methodologies have better discriminatory power and recognition accuracy compared withprior approaches.
G.Archana, K.Aparna, “Face Recognition Using Hybrid Local Descriptors with Automated Detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 10, pp. 97-102, October 2017.
