Document images classification based on deep learning

被引：2

作者：

Hu, Biao ^{[1
]}

Ergu, Daji ^{[1
]}

Yang, Huan ^{[1
]}

Liu, Kuiyi ^{[1
]}

Cai, Ying ^{[1
]}

机构：

[1] Southwest Minzu Univ, Key Lab Elect & Informat Engn, State Ethn Affairs Commiss, Chengdu 610041, Peoples R China

来源：

7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2019): INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT BASED ON ARTIFICIAL INTELLIGENCE | 2019年 / 162卷

基金：

中国国家自然科学基金;

关键词：

Financial business; Convolutional neural network; Image classification;

D O I：

10.1016/j.procs.2019.12.018

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the financial business, there are cumbersome and error-prone manual procedures and long workflows. In this paper, MSCNN model is proposed to solve automatically identify and classify images such as documents. First, the image data is preprocessed to enhance the image features. Then, the image is extracted by the cross-connect structure and multi-channel convolution. Finally, the image is classified by softmax layer. The experimental results on the dataset show that the proposed model has a high classification accuracy in image classification. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：514 / 522

页数：9

共 50 条

[21] Classification of Spectrum Images of Solar Radio Bursts Based on Deep Learning
Xu, Xirong
Wang, Zhiyang
Hong, Yu
Xia, Tianfan
Cheng, Jun
Jiang, Jingqing
2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019), 2019, : 241 - 246
[22] Morphological Classification of Elbow Joints Based on Deep Learning with CT Images
Wang, Jun
Ding, Xiying
Zhang, Yongxing
Ma, Xiao
Peng, Chen
Lin, Feng
Wu, Yan
Zhang, Qing
2024 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, CIS AND IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, RAM, CIS-RAM 2024, 2024, : 447 - 451
[23] Deep learning for automated forgery detection in hyperspectral document images
Khan, Muhammad Jaleed
Yousaf, Adeel
Abbas, Asad
Khurshid, Khurram
JOURNAL OF ELECTRONIC IMAGING, 2018, 27 (05)
[24] Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Bechelli, Solene
Delhommelle, Jerome
BIOENGINEERING-BASEL, 2022, 9 (03):
[25] A comprehensive systematic review of deep learning methods for hyperspectral images classification
Ranjan, Pallavi
Girdhar, Ashish
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 43 (17) : 6221 - 6306
[26] Classification and Model Method of Convolutional Features in Sketch Images Based on Deep Learning
Chen, Jun
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 36 (12)
[27] Automated classification and detection of multiple pavement distress images based on deep learning
Li, Deru
Duan, Zhongdong
Hu, Xiaoyang
Zhang, Dongchang
Zhang, Yiying
JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION, 2023, 10 (02) : 276 - 290
[28] Classification of Brain MRI Tumor Images Based on Deep Learning PGGAN Augmentation
Gab Allah, Ahmed M.
Sarhan, Amany M.
Elshennawy, Nada M.
DIAGNOSTICS, 2021, 11 (12)
[29] Intelligent deep learning based ethnicity recognition and classification using facial images
Sunitha, Gurram
Geetha, K.
Neelakandan, S.
Pundir, Aditya Kumar Singh
Hemalatha, S.
Kumar, Vinay
IMAGE AND VISION COMPUTING, 2022, 121
[30] Feasibility of fully automated classification of whole slide images based on deep learning
Cho, Kyung-Ok
Lee, Sung Hak
Jang, Hyun-Jong
KOREAN JOURNAL OF PHYSIOLOGY & PHARMACOLOGY, 2020, 24 (01) : 89 - 99

← 1 2 3 4 5 →