Artificial Bee Colony Based Multifeature Recognition
This paper presents a new approach to improve the recognition performance of existing authentication systems based on palmprint. The technique presented extracts multiple features namely, minutiae, texture and ridge from the palmprint image using novel algorithms. The images are then classified using Artificial Bee Colony Classifier. The proposed palmprint approach proves to be superior to existing methods in all scenarios. CASIA palmprint database is utilized to obtain the experimental results, thereby, conforming the effectiveness of the proposed approach.
Keywords: Bee colony, Biometrics, Morphological, Palm-print recognition, RLTP
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ABOUT THE AUTHORS
R.Gayathri
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai
R.Gayathri
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai
Sri Venkateswara College of Engineering, chennai