Multi-Metric Based Face Identification with Multi Configuration LBP Descriptor | Zendy

Djeddou Mustapha | Zendy; Rabai Mohammed | Zendy; Temmani Khadidja | Zendy

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Multi-Metric Based Face Identification with Multi Configuration LBP Descriptor

Author(s) -

Djeddou Mustapha,

Rabai Mohammed,

Temmani Khadidja

Publication year - 2012

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2012.01.08

Subject(s) - normalization (sociology) , local binary patterns , modal , metric (unit) , identification (biology) , computer science , artificial intelligence , fusion , pattern recognition (psychology) , face (sociological concept) , simple (philosophy) , data mining , histogram , engineering , social science , operations management , botany , sociology , biology , linguistics , chemistry , philosophy , epistemology , anthropology , polymer chemistry , image (mathematics)

This paper deals with the performance improvement of a mono modal face identification. A statistical study of various structures of the LBPs (Local Binary Patterns) features associated to two metrics is performed to find out those committing errors on different subjects. Then, during the identification stage, these optimal variants are used, and a simple score level fusion is adopted. The score fusion is done after min-max normalization. The main contribution of this paper consists in the association of multiple LBP schemes with different metrics using simple fusion operation. The overall identification rating up to 99% using AT&T database is achieved.

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