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Novel Approaches to Improve Iris Recognition System Performance Based on Local Quality Evaluation and Feature Fusion
Published 2014-01-01“…The experimental results based on subsets of three public and one private iris image databases demonstrate three contributions of this paper. (1) Our experimental results prove that partial iris image cannot completely replace the entire iris image for iris recognition system in several ways. (2) The proposed quality evaluation algorithm is a self-adaptive algorithm, and it can automatically optimize the parameters according to iris image samples’ own characteristics. (3) Our feature information fusion strategy can effectively improve the performance of iris recognition system.…”
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Optimization model of electricity metering management based on MOPSO
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A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms
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Study on Energy-saving Control of Large Central Air-conditioning System Based on BAS-PSO
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials
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IoT-enabled stepped basin solar stills: Advanced optimization with PSO and ABC algorithms
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Improving energy efficiency for intelligent reflecting surface assisted PD-NOMA in EH relaying network
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