Improving Recognition Performance for Duplicate Facial Images
نویسنده
چکیده
Previous work in our group has described a face recognition technology based on Gabor wavelets based representation and Elastic Graph Matching..4] We here describe a summary of our eeorts towards the Face Recognition Technology (FERET) Phase III test held in February 1997. One of our goals in this test was to improve recognition performance for duplicate facial images. We proposed a model of cues to explain behavior of failures and analyzed various failure cases and causes. Utilizing these learned knowledge of the failures as a general strategy, three additional functions, histogram equalization, face size normalization by kernel rescaling and jet transformation for rotation in depthh5]]6] were evaluated in our system as post processes after a face model graph creation. The performance of the system is improved for recognition of duplicate facial images.
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