Partial Face Recognition System

Ms. Jayashree M. Dhikale, Prof. Nitin. M. Shahane

Abstract


A number of face recognition methods are used
for identification or verification of a person in many computer
applications. Most of the methods use images of entire face
under controlled condition for face recognition. However, in many
situations the human faces might be occluded by other object
which poses a difficulty in face recognition. To overcome this
problem, the proposed approach identifies the persons. From
partial face, the proposed system tries matching it with the full
faces available in the database. It first extracts local features that
are textural features and geometrical features and also detect
keypoints. Then a Robust Point Set Matching (RPSM) method is
used to match local features sets and also keypoints of the faces
from database and the partial face image under investigation. A
distance metric is used to find similarity of the two faces using
their two sets of features.

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