A framework of configurable multi-engine system based on performance matrices for face recognition

He, Hongmei and Guest, Richard M. (2014) A framework of configurable multi-engine system based on performance matrices for face recognition. In 2013 IEEE International Conference on Technologies for Homeland Security (HST). IEEE. 6 pp . (doi:10.1109/THS.2013.6699060).

Record type: Conference or Workshop Item (Paper)

Abstract

In order to solve the intrapersonal variation problem in facial recognition, we propose a framework of a multi-engine system for facial recognition configurable in image types, watch sizes and engines based on performance matrices. The value of each cell in a performance matrix presents a confidence level for facial recognition; the quantified generalisation ability in a specific area of the performance matrix, corresponding to the pair of probe and training image variations, provides a reference for the selection of engines; and the cell value of a performance matrix at a specified size of watch list can be predicted through non-linear identification approach using existing performance matrices for different sizes of watch lists. We demonstrated the improved performance of a system embedded with two engines, Eigenface and Local Binary Pattern Histograms algorithms.

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