Abstract:
This study presents a brief processing of ear identification and making an
improvement of ear recognition via combination of Iterative Closest Point (ICP)
algorithm with the Stochastic Clustering Method (SCM). The objective of this
study is to enhance the matching template scheme using BPNN based on the ICP
algorithm combined SCM method. An effective SLLE (Supervised Locality Linear
Embedding) variation for ear recognition was designed based on JAVA programming
language. The software provides basic functions for ear identification analysis
by using two kinds of algorithm, respectively. In particular, the combined method
provides effective identification through BPNN environment condition. Analysis
results are expressed realistically through different database. Finally, with
the application of ICP and SCM based multilayer neutral network to identify
20 ear images, the experiment results shows 96.12% accuracy.
M. Khamiss, S. Algabary, Khairuddin Omar, Md. Jan Nordin and Siti Norul Huda S. Abdullah, 2015. Ear Identification Based on Improved Algorithm of ICPSCM. Journal of Applied Sciences, 15: 815-820.
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