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Spectral Biometric Verification System for Person Identification

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Information and Communication Technology for Sustainable Development

Abstract

Automatic person identification is possible through many biometric techniques which provide easy solution like identification and verification. But there may be chances of spoofing attack against biometric system. Biometric devices can also be spoofed artificially by plastic palmprint, copy medium to provide a false biometric signature, etc., so existing biometric technology can be enhanced with a spectroscopy method. In this paper, ASD FieldSpec 4 Spectroradiometer is used to overcome this problem, the palmprint spectral signatures of every person are unique in nature. Preprocessing technique including smoothing was done on the palmprint spectra to remove the noise. Statistical analysis were done on preprocessed spectra, FAR (False acceptance Rate), and FRR (False Rejection Rate) values against different threshold values were obtained and equal error rate was acquired. EER of the system is approximately 12% and the verification threshold 0.12.

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Correspondence to Anita Gautam Khandizod .

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Khandizod, A.G., Deshmukh, R.R., Borade, S.N. (2018). Spectral Biometric Verification System for Person Identification. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-3920-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-3920-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3919-5

  • Online ISBN: 978-981-10-3920-1

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