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Invariant range image multi - pose face recognition using Fuzzy ant algorithm and membership matching score

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3 Author(s)
Supawee Makdee ; Faculty of Industrial Technology, Rajabhat Ubon Ratchathani University, Ubonratchathani, THAILAND, Email: mag ; Chom Kimpan ; Seri Pansang

In this paper, we present a swarm intelligence based algorithm for data clustering. Fuzzy c-Means is used on the clusters formed by the ant for speeding up processing time. This approach is developed for implementation the invariant range image multi-pose face recognition system. This face recognition system is created to function covering pose variation region ±24 degrees up/down and left/right (UDLR) from initial pose. RIFD used in this face recognition is based on 3-D Graphics database. For this advantage, we could solve scale, center and pose error problem by using geometric transform. RIFD obtained from range image sensors will be used for operation by reducing data size. RIFD will be transformed by the gradient transform into significant feature and matching by using membership matching score. The proposed method was tested by using facial range images from 130 persons with normal facial expressions. The recognition rate has to be better than AIMS and k-means.

Published in:

2007 IEEE International Symposium on Signal Processing and Information Technology

Date of Conference:

15-18 Dec. 2007