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Proceedings Paper

Feature fusion in multimodal recognition based on ear and profile face
Author(s): Xiuqin Pan; Xiaona Xu; Yong Lu; Yongcun Cao
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Paper Abstract

Because of ear's special physiological structure and location, it is reasonable to combine ear with profile face for recognition in such scenarios as frontal face images are not available. In this paper, a novel method of multimodal recognition fusing ear and profile face based on kernel principal component analysis is proposed. With the algorithm, the fusion feature vectors of ear and profile face are established and nonlinear feature fusion projection could be implemented. The experimental results show that multimodal recognition fusing both ear and profile face results in improvement over either ear or profile face unimodal recognition.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 71272I (13 October 2008); doi: 10.1117/12.806747
Show Author Affiliations
Xiuqin Pan, Central Univ. for Nationalities (China)
Xiaona Xu, Central Univ. for Nationalities (China)
Yong Lu, Central Univ. for Nationalities (China)
Yongcun Cao, Central Univ. for Nationalities (China)


Published in SPIE Proceedings Vol. 7127:
Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence

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