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Hybrid improved bacterial swarm optimization algorithm in hand based multimodal biometric authentication system

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Hybrid improved bacterial swarm optimization algorithm in hand based multimodal biometric authentication system

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This paper proposes a Hybrid Improved Bacterial Swarm (HIBS) optimization algorithm for the minimization of Equal Error Rate (EER) as a performance measure in a hand-based multimodal biometric authentication system. The hybridization of the algorithm was conducted by incorporating Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO) algorithm to mitigate weaknesses in slow and premature convergence.

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Nội dung Text: Hybrid improved bacterial swarm optimization algorithm in hand based multimodal biometric authentication system

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