Laser & Optoelectronics Progress, Volume. 59, Issue 21, 2104001(2022)

Extraction of Potential Oil Fingermarks on Paper Based on Full-Band CCD Photographic System

Fei Xie, Shuhui Gao*, and Yunzhuo Li
Author Affiliations
  • School of Investigation, People's Public Security University of China, Beijing 100038, China
  • show less

    The optical nondestructive extraction of fingermarks plays an important role in investigating and solving cases. Paper is a common carrier in various cases, which is a permeable object under most situations, and extracting potential oil fingermarks from it is difficult. This study explores the optical nondestructive extraction method of potential oil fingermarks on various paper types through experiments. A total of 7 kinds of paper in three categories of smooth, semi-smooth, and rough textures are selected as trace carriers, and a total of 6 kinds of oil fingerprints in four categories of oil, vegetable, mineral, and essential oils are selected as detection materials. Optical inspection of 42 samples is conducted based on a full-band CCD photographic system, and the extraction results are compared with those obtained under natural light. The experimental results show that the extraction effect of the 254 nm short-wave ultraviolet reflectance photographic is superior to that of natural light. However, their fingerprint extraction results differ because of the differences in the reflection properties of the marks bearing objects and oil. The conclusion provides basic data for fingermark extraction on site.

    Tools

    Get Citation

    Copy Citation Text

    Fei Xie, Shuhui Gao, Yunzhuo Li. Extraction of Potential Oil Fingermarks on Paper Based on Full-Band CCD Photographic System[J]. Laser & Optoelectronics Progress, 2022, 59(21): 2104001

    Download Citation

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

    Category: Detectors

    Received: Jan. 21, 2022

    Accepted: Feb. 14, 2022

    Published Online: Oct. 24, 2022

    The Author Email: Gao Shuhui (gaoshuhui@ppsuc.edu.cn)

    DOI:10.3788/LOP202259.2104001

    Topics