Abstract
Higher identification accuracy is obtained in multibiometrics than single biometrics. The proposed work improves accuracy in personal identification for achieving high standard security in real-world applications. Among numerous biometric technologies, palmprint recognition drives more attention due to its virtuous performance. It is easy to implement, and better results can be obtained by combining the left palmprint images with that of right. The proposed method executes multibiometrics by systematically combining the palmprint images of left hand and right hand. Fusion is performed using scores generated from palmprint images for performing fusion. The proposed algorithm considers the nature of left palmprint image and right palmprint image to deed the resemblance of palmprints of both hands of same subject. Perfect identification performance is obtained which gives better results while comparing with the previous identification methods.
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Vidhya, K., Ganesh Babu, T.R. (2021). Fusion-Based Biometric Identification Using Palmprint Images. In: Sharma, D.K., Son, L.H., Sharma, R., Cengiz, K. (eds) Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems, vol 179. Springer, Singapore. https://doi.org/10.1007/978-981-33-4687-1_13
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DOI: https://doi.org/10.1007/978-981-33-4687-1_13
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