[1] [1] CHENG Y Z, LARIN K V. Artificial fingerprint recognition by using optical coherence tomography with autocorrelation analysis[J]. Applied Optics, 2006, 45(36): 9238-9245.

[3] [3] CHENG Y Z, LARIN K V. In vivo two-and three-dimensional imaging of artificial and real fingerprints with optical coherence tomography[J]. IEEE Photonics Technology Letters, 2007, 19(20): 1634-1636.

[4] [4] ABRAHAM J, CHAMPOD C, LENNARD C, et al. Modern statistical models for forensic fingerprint examinations: A critical review[J]. Forensic Science International, 2013, 232(1/2/3): 131-150.

[5] [5] BRADSHAW R, DENISON N, FRANCESE S. Implementation of MALDI MS profiling and imaging methods for the analysis of real crime scene fingermarks[J]. Analyst, 2017, 142(9): 1581-1590.

[7] [7] TAHTOUH M, KALMAN J R, ROUX C, et al. The detection and enhancement of latent fingermarks using infrared chemical imaging[J]. Journal of Forensic Sciences, 2005, 50(1): 1-9.

[14] [14] BRAMBLE S K, CREER K E, GUI QIANG W, et al. Ultraviolet luminescence from latent fingerprints[J]. Forensic Science International, 1993, 59(1): 3-14.

[15] [15] 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.

[17] [17] TAO D Q, LIU T, DONG Y, et al. Comparative study on sweat fingerprints photographic effects between full-band CCD and UV observing photograph systems[J]. Applied Mechanics and Materials, 2014, 496/497/498/499/500: 1744-1747.