Classification modeling method for hyperspectral stamp‐pad ink data based on one‐dimensional convolutional neural network
Author:
Affiliation:
1. School of Criminal Investigation, People’s Public Security University of China Beijing China
2. Shanghai Key Laboratory of Criminal Scene Evidence Shanghai China
Publisher
Wiley
Subject
Genetics,Pathology and Forensic Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1556-4029.14909
Reference24 articles.
1. UV‐Vis Spectroscopic method to identify the types of stamp‐pad ink;Guo XF;Guangdong Gongan Keji,2017
2. Identification of stamp‐pad mud and stamp‐pad ink by roman spectroscopy;Han W;J Peoples Public Security Univ China (Sci Technol),2016
3. Identification of atomic stamp‐pad ink by fluorescence spectrometry;Zhang ZY;J Criminal Invest Police Univ China,1998
4. Preliminary studies on the absorbance ratio method used to determining the age of stamp‐pad ink seal;Ouyang G;J Forensic Sci,2019
5. Application of Raman spectroscopy in forensic investigation of questioned documents involving stamp inks;Raza A;Sci Justice,2013
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