Research Paper | Computer Science & Engineering | India | Volume 7 Issue 6, June 2018
Survey of Occluded Face Recognition Methods and Approaches
Navneet Kaur, Deepika Arora
Abstract: Partial face occlusion is one of the most hard issues in face popularity. A face reputation system can confront occluded faces in real world applications very frequently due to use of accessories, which includes headband or sun shades, arms at the face, the gadgets that folks carry, and external resources that in part occlude the digicam view. Therefore, the face recognition gadget must be sturdy to occlusion so that you can assure reliable actual-global operation. Several research were performed so that you can deal with this trouble. In, face snap shots are analyzed domestically on the way to take care of partial face occlusion. The face photograph is first divided into k local areas and for each place an eigenspace is built. If a vicinity is occluded, it is mechanically detected. Moreover, weighting of the local regions also are proposed which will offer robustness in opposition to expression variations. To recognize a partial face (either an occluded partial face or an arbitrary facial patch), its essential to align it to a holistic/partial gallery facial photographs accurately, as well as to plan the ideal similarity degree to compute their similarity.
Keywords: Biometrics, Face recognition, Face detection, occluded face recognition, Partial faces
Edition: Volume 7 Issue 6, June 2018,
Pages: 49 - 55
How to Cite this Article?
Navneet Kaur, Deepika Arora, "Survey of Occluded Face Recognition Methods and Approaches", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20182815, Volume 7 Issue 6, June 2018, 49 - 55
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