Spectral Biometric Verification System for Person Identification

  • Anita Gautam Khandizod
  • Ratnadeep R. Deshmukh
  • Sushma Niket Borade
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)


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.


Spectra ASD FieldSpec 4 Hyperspectral palmprint False acceptance False rejection 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Anita Gautam Khandizod
    • 1
  • Ratnadeep R. Deshmukh
    • 1
  • Sushma Niket Borade
    • 1
  1. 1.Department of Computer Science and Information TechnologyDr. Babasaheb Ambedkar Marathwada UniversityAurangabadIndia

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