On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches

Yongkang Wong, Mehrtash T. Harandi, Conrad Sanderson, Brian C. Lovell

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

16 Citations (Scopus)


In the field of face recognition, Sparse Representation (SR) has received considerable attention during the past few years. Most of the related literature focuses on holistic descriptors in closed-set identification applications. The underlying assumption in identification is that the gallery always has sufficient samples per subject to linearly reconstruct a query image. Unfortunately, such assumption is easily violated in the more challenging and realistic face verification scenario. A verification algorithm is required to determine if two faces (where one or both have not been seen before) belong to the same person, while explicitly taking into account the possibility of impostor attacks. In this paper, we first discuss why most of the SR literature is not applicable to verification problems. Motivated by the success of bag-of-words methods in the field of object recognition, which describe an image as a set of local patches or interest points, we then propose to tackle the verification problem by encoding each local face patch through SR. The locally encoded sparse vectors are pooled to form regional descriptors, where each descriptor covers a relatively large portion of the face. Experiments in various challenging conditions show that the proposed method achieves high and robust verification performance.

Original languageEnglish
Title of host publication2012 International Joint Conference on Neural Networks, IJCNN 2012
Publication statusPublished - 22 Aug 2012
Externally publishedYes
EventIEEE International Joint Conference on Neural Networks 2012 - Brisbane Convention & Exhibition Centre, Brisbane, Australia
Duration: 10 Jun 201215 Jun 2012
https://ieeexplore.ieee.org/xpl/conhome/6241467/proceeding (Proceedings)

Publication series

NameProceedings of the International Joint Conference on Neural Networks


ConferenceIEEE International Joint Conference on Neural Networks 2012
Abbreviated titleIJCNN 2012
Internet address

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