Researching | Multi-Layer Perceptron Pattern Recognition of Handwriting Ink Based on PLS-DA Raman Spectral Feature Extraction

Laser & Optoelectronics Progress, Volume. 58, Issue 1, 130002(2021)

Multi-Layer Perceptron Pattern Recognition of Handwriting Ink Based on PLS-DA Raman Spectral Feature Extraction

Wang Xiaobin^1,2, Ma Xiao¹, Yang Lei^1,2, and Li Chunyu^1,2、*

Author Affiliations

¹School of Forensic Science, People''s Public Security University of China, Beijing 100038, China

²Forensic Science Experimental Teaching Center, People''s Public Security University of China, Beijing 100038, China

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Figures&Tables (7)

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Figures & Tables(7)

Fig. 1. Raman spectra of samples after pre-processing

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Fig. 2. PLS-DA score graph

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Fig. 3. ROC curve and area under the curve A_UC of 5 types of samples

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Fig. 4. V_IP value of independent variables

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Fig. 5. Structure of multi-layer perceptron

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Fig. 6. Changes of cross-entropy in epoch

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Table 1. Classification results of multi-layer perceptron
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Table 1. Classification results of multi-layer perceptron
Actual class Predicted class
1 2 3 4 5
1 32 2 0 4 0
2 1 17 1 0 0
3 0 3 20 0 0
4 1 0 0 7 0
5 0 0 0 1 11

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Wang Xiaobin, Ma Xiao, Yang Lei, Li Chunyu. Multi-Layer Perceptron Pattern Recognition of Handwriting Ink Based on PLS-DA Raman Spectral Feature Extraction[J]. Laser & Optoelectronics Progress, 2021, 58(1): 130002

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Paper Information

Category: Spectroscopy

Received: Apr. 29, 2020

Accepted: --

Published Online: Jan. 28, 2021

The Author Email: Chunyu Li (lichunyu@ppsuc.edu.cn)

DOI:10.3788/LOP202158.0130002

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology