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Review on Reliable Pattern Recognition with Machine Learning Techniques
Published in Fuzzy Information and Engineering, 2018
Devyani Bhamare, Poonam Suryawanshi
Xi et al. [34] proposed a hierarchical correlation based face authentication (HCFA) scheme for mobile devices, which could analyse the relationship between each cross-correlation output peak generated from selected sub-regions of a face. They further implemented the scheme on Nokia S60 CLDC emulator using Java ME and the experimental results showed that the scheme suited resource-constrained mobile computing environment due to the low memory and storage demand. By testing on the Yale Face dataset B, their scheme could achieve an EER of 3.58%.