Reduced Complexity Automatic Face Recognition Algorithm Based on Local Binary Patterns

2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012): Proceedings 2012
Oļegs Ņikišins, Modris Greitāns

This paper proposes an adaptation of the Local Binary Patterns operator for the design of an automatic face recognition algorithm. The automatic face recognition process is divided into three main stages: face detection, face localization and face recognition. The authors developed an approach for the realization of all these stages based on a single Local Binary Pattern (LBP) transformation. An innovative LBP-based eye-pupil detection technique for precise face localization is also presented in this paper. The simplicity of the proposed methodology makes it potentially well suited to embedded solutions with limited computational power and memory. The parameters of the algorithms are evaluated on a color FERET database.

Keywords
Local Binary Pattern operator, automatic face recognition, face detection, face localization
Hyperlink
https://ieeexplore.ieee.org/document/6208169

Ņikišins, O., Greitāns, M. Reduced Complexity Automatic Face Recognition Algorithm Based on Local Binary Patterns. In: 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012): Proceedings, Austria, Vienna, 11-13 April, 2012. Piscataway: IEEE, 2012, pp.433-436. ISBN 978-1-4577-2191-5. e-ISBN 978-3-200-02328-4. ISSN 2157-8672. e-ISSN 2157-8702.

Publication language
English (en)