Laser Technology, Volume. 45, Issue 5, 625(2021)

Acquisition of multi-spectrum fingerprint image with a smartphone

ZHAI Chunjie1、* and ZHOU Guixue2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(21)

    [1] [1] HAZARIKA P, RUSSELL D A. Advances in fingerprint analysis[J]. Angewandte Chemie International Edition, 2012, 51(15): 3524-3531.

    [2] [2] TIEDGE T M, MCATEE P D, McCORMICK M N, et al. Massively parallel sequencing and STR analysis from partial bloody fingerprints enhanced with columnar thin films[J]. Forensic Science International: Genetics, 2020, 49: 102369.

    [3] [3] SINGLA N, KAUR M, SOFAT S. Automated latent fingerprint identification system: A review[J]. Forensic Science International, 2020, 309: 110187.

    [4] [4] WOLSTENHOLME R, FRANCESE S, BRADSHAW R. Study of li-pid distribution and degradation in latent fingerprints by spectroscopic imaging techniques[J]. Science & Justice, 2010, 50(1): 37-38.

    [5] [5] LEINTZ R, BOND J W. Can the RUVIS reflected UV imaging system visualize fingerprint corrosion on brass cartridge casings postfiring[J]. Journal of Forensic Sciences, 2013, 58(3): 772-775.

    [6] [6] CRANE N J, BARTICK E G, PERLMAN R S, et al. Infrared spectroscopic imaging for noninvasive detection of latent fingerprints[J]. Journal of Forensic Sciences, 2007, 52(1): 48-53.

    [7] [7] TAHTOUH M, DESPLAND P, SHIMMON R, et al. The application of infrared chemical imaging to the detection and enhancement of latent fingerprints: Method optimization and further findings[J]. Journal of Forensic Sciences, 2007, 52(5): 1089-1096.

    [8] [8] GHARBIA R, HASSANIEN A, EL-BAZ A, et al. Multi-spectral and panchromatic image fusion approach using stationary wavelet transform and swarm flower pollination optimization for remote sensing applications[J]. Future Generation Computer Systems, 2018, 88: 501-511.

    [9] [9] ZHANG M, LI S, YU F, et al. Image fusion employing adaptive spectral-spatial gradient sparse regularization in UAV remote sensing[J]. Signal Processing, 2020, 170: 107434.

    [10] [10] SUN G, ZHANG X, JIA X, et al. Deep fusion of localized spectral features and multi-scale spatial features for effective classification of hyperspectral images[J]. International Journal of Applied Earth Observation and Geoinformation, 2020, 91: 102157.

    [11] [11] WENG S, TANG P, YUAN H, et al. Hyperspectral imaging for accurate determination of rice variety using a deep learning network with multi-feature fusion[J]. Spectrochimica Acta, 2020, A234: 118237.

    [12] [12] SHARMA R P, DEY S. Two-stage quality adaptive fingerprint image enhancement using fuzzy C-means clustering based fingerprint quality analysis[J]. Image and Vision Computing, 2019, 83/84: 1-16.

    [13] [13] GUPTA R, KHARI M, GUPTA D, et al. Fingerprint image enhancement and reconstruction using the orientation and phase reconstruction[J]. Information Sciences, 2020, 530: 201-218.

    [14] [14] KHAN T M, KHAN M A U, KONG Y. Fingerprint image enhancement using multi-scale DDFB based diffusion filters and modified Hong filters[J]. Optik, 2014, 125(16): 4206-4214.

    [15] [15] ULEP T, ZENHAUSERN R, GONZALES A, et al. Smartphone based on-chip fluorescence imaging and capillary flow velocity mea-surement for detecting ROR1+ cancer cells from buffy coat blood samples on dual-layer paper microfluidic chip[J]. Biosensors and Bioelectronics, 2020, 153: 112042.

    [16] [16] SHARMA J, ONO T, SANDHU A. Smartphone enabled medical diagnostics by optically tracking electromagnetically induced harmonic oscillations of magnetic particles suspended in analytes[J]. Sensing and Bio-Sensing Research, 2020, 29: 100347.

    [17] [17] WEI X, LI Ch L, XUE W, et al. Smart phone recognition characteristics of laser marking barcodes on aluminum alloy surface[J]. Laser Technology, 2016, 40(5): 633-637(in Chinese).

    [18] [18] CALEB J, ALSHANA U, ERTAS N. Smartphone digital image co-lorimetry combined with solidification of floating organic drop-dispersive liquid-liquid microextraction for the determination of iodate in table salt[J]. Food Chemistry, 2021, 336: 127708.

    [19] [19] PENG B, ZHOU J, XU J, et al. A smartphone-based colorimetry after dispersive liquid-liquid microextraction for rapid quantification of calcium in water and food samples[J]. Microchemical Journal, 2019, 149: 104072.

    [20] [20] LI B, YU Y, CAO Y, et al. Point-of-care testing for streptomycin based on aptamer recognizing and digital image colorimetry by smartphone[J]. Biosensors and Bioelectronics, 2018, 100: 482-489.

    [21] [21] HAN Zh, LIU C P. Automatic evaluation algorithm of fingerprint images quality[J]. Computer Engineering, 2007, 33(19): 4-6(in Chinese).

    Tools

    Get Citation

    Copy Citation Text

    ZHAI Chunjie, ZHOU Guixue. Acquisition of multi-spectrum fingerprint image with a smartphone[J]. Laser Technology, 2021, 45(5): 625

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 1, 2020

    Accepted: --

    Published Online: Sep. 9, 2021

    The Author Email: ZHAI Chunjie (zhaichunjie1988@163.com)

    DOI:10.7510/jgjs.issn.1001-3806.2021.05.015

    Topics