Vol. 68

Latest Volume
All Volumes
All Issues

A Portable Spectra Detection System for Ripeness Detection and Real-Finger Identification

By Jun Xie and Fuhong Cai
Progress In Electromagnetics Research Letters, Vol. 68, 73-77, 2017


A portable spectra detection system has been developed to enable reflection measurement. This system is mainly composed of spectrometer, LED source and five optical elements. The size of the optical system is about 126 mm × 72 mm × 30 mm. The system covers a range of 340 nm-820 nm, and the spectral resolution is 6.0 nm. Based on the detection system, two example applications for ripeness detection and real-finger identification are carried out to demonstrate the system performance. The detection time is less than 1 second, and a satisfactory agreement was observed between detection results and realistic situation.


Jun Xie and Fuhong Cai, "A Portable Spectra Detection System for Ripeness Detection and Real-Finger Identification," Progress In Electromagnetics Research Letters, Vol. 68, 73-77, 2017.


    1. Roggo, Y., P. Chalus, L. Maurer, C. Lema-Martinez, A. Edmond, and N. Jent, "A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies," J. Pharm. Biomed. Anal., Vol. 44, 683-700, 2007.

    2. Alander, J. T., V. Bochko, B. Martinkauppi, S. Saranwong, and T. Mantere, "A review of optical nondestructive visual and near-infrared methods for food quality and safety," International Journal of Spectroscopy, Vol. 2013, 36, 2013.

    3. Xu, J., Y. T. Wang, and X. F. Liu, "A novel quantitative analysis method of three-dimensional fluorescence spectra for vegetable oils contents in edible blend oil," Optics and Spectroscopy, Vol. 118, 663-667, 2015.

    4. Evers, D. J., B. H. W. Hendriks, G. W. Lucassen, and T. J. M. Ruers, "Optical spectroscopy: Current advances and future applications incancer diagnostics and therapy," Future Oncology, Vol. 8, 307-320, 2012.

    5. Li, L., et al., "Remote detection of the surface-enhanced Raman spectrum with the optical fiber nanoprobe," Optics and Spectroscopy, Vol. 116, 575-578, 2014.

    6. Das, A., A. Wahi, I. Kothari, and R. Raskar, "Ultra-portable, wireless smartphone spectrometer for rapid, non-destructive testing of fruit ripeness," Natural Scientific Reports, Vol. 6, 32504, 2016.

    7. Bodria, L., M. Fiala, R. Guidetti, and R. Oberti, "Optical techniques to estimate the ripeness of red-pigmented fruits," Transactions of the Asae, Vol. 47, 815-820, 2004.

    8. Zhu, Q., C. He, R. Lu, F. Mendozac, and H. Cen, "Ripeness evaluation of `Sun Bright’ tomato using optical absorption and scattering properties," Postharvest Biology and Technology, Vol. 103, 27-34, 2015.

    9. Zude-Sasse, M., I. Truppel, and B. Herold, "An approach to non-destructive apple fruit chlorophyll determination," Postharvest Biology and Technology, Vol. 25, 123-133, 2002.

    10. Hong, L., Y. Wan, and A. Jain, "Fingerprint image enhancement: Algorithm and performance evaluation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, 777-789, 1998.