Paper Info
Title
A robust approach based on local feature extraction for age invariant face recognition
Abstract
Age variation is a major problem in the area of face recognition under uncontrolled environment such as pose, illumination, expression. Most of the works of this area are based on discriminative methods. The most of the discriminative methods used encoding based descriptors. The encoding based descriptors skip pixels of a few radii width which holds important discriminative information for face recognition under age variation. This paper involves all the pixels of local regions and introduces local descriptors-local difference pattern and local directional gradient relation pattern for extracting texture features for face recognition under age variation. The proposed descriptors are used for robust feature extraction from face images and its parts-periocular region i.e. left and right eye, nose and mouth region. The proposed local difference pattern finds the texture feature difference relation on a local region while local directional gradient relation pattern extracts the feature through finding relation of directional gradient of the local region. Histogram is computed for extracted features using descriptors. Chi-square metric computes the the similarity between probe and gallery images. Experiments have been done on two standard challenging datasets to measure the performance. The proposed approach performed well and presented the better and comparable results i.e. 90.75% recognition accuracy on FGNET and 96.95% recognition accuracy on MORPH.
Year
DOI
Venue
2022
10.1007/s11042-022-12783-6
Multimedia Tools and Applications
Keywords
DocType
Volume
Age invariant, Face recognition, Local directional gradient relation pattern, Local difference pattern
Journal
81
Issue
ISSN
Citations 
15
1380-7501
0
PageRank 
References 
Authors
0.34
16
2
Name
Order
Citations
PageRank
Tripathi, Rajesh Kumar100.34
Anand Singh Jalal213828.45