NDLI: Rejecting Character Recognition Errors Using CNN Based Confidence Estimation

Content Provider	IET Digital Library
Author	Li, Pengchao Peng, Liangrui Wen, Juan
Abstract	Although Optical character recognition (OCR) technology has achieved huge progress in recent years, character misrecognition is inevitable. In order to realize high fidelity content of document digitalization, we propose a new Convolutional neural networks (CNN) based confidence estimation method. We detect the misrecognized characters through comparing the confidence value with a preset threshold, so as to leave the recognition errors as embedded images in the output digital documents. We adopted sofmax as the estimation of posteriori probability, overlap pooling and maxout with dropout technologies in CNN architecture design. Experimental results show that our method has achieved an explicit improvement compared to baseline system.
Starting Page	520
Ending Page	526
Page Count	7
ISSN	10224653
Volume Number	25
e-ISSN	20755597
Issue Number	Issue 3, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/25/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.05.018
Journal	Chinese Journal of Electronics
Publisher Date	2016-05-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Character Misrecognition Character Recognition Error CNN Architecture Design Computer Vision And Image Processing Technique Confidence Estimation Method Confidence Value Convolutional Neural Network Document Digitalization Document Image Processing Document Processing Technique Dropout Technology Image Recognition Maximum Likelihood Estimation Maxout Neural Computing Technique Neural Nets OCR Optical Character Recognition Overlap Pooling Posteriori Probability Estimation Sofmax Statistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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