Survey of Structural Analysis in Mathematical Expression Recognition

IF 2.5 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IETE Technical Review Pub Date : 2023-10-12 DOI:10.1080/02564602.2023.2265864

Ridhi Aggarwal, Shilpa Pandey, Anil Kumar Tiwari, Gaurav Harit

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引用次数: 0

Abstract

AbstractAutomated identification of mathematical expressions (MEs) is essential in transforming scientific and engineering documents into electronic form. Even though character and symbol recognizers have achieved commendable performance for digitizing documents, structure analysers still face a challenge in correctly interpreting the maths expressions. This review paper compares the salient aspects of past works dealing with structure analysis of printed and handwritten MEs. To the best of our knowledge, no previous work has done a systematic study of structural analysis methods in mathematical expression recognition. We present distinguishing aspects of different grammars and their production rules for semantic parsing of ME. Our study contributes by providing information on the existing datasets, their desirable properties, different evaluation measures, distinguishing aspects of techniques used and future research directions in structural analysis.KEYWORDS: Deep learningMathematical expression recognitionOfflineOnlineStructural analysisSyntactic parsing Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsRidhi AggarwalRidhi Aggarwal received a BTech in electrical and electronics engineering and an ME in electronics product design and technology. She is currently working towards her PhD degree from IIT Jodhpur.Shilpa PandeyShilpa Pandey (PhD 2019) is an assistant professor in the Department of CSE at Pandit Deendayal Energy University, Gujarat. Email: shilpaiitj@gmail.comAnil Kumar TiwariAnil Kumar Tiwari (member, IEEE) is a professor at Department of EE at IIT Jodhpur. His research interests include development of algorithms for image and video compression, noise minimization, interpolation, healthcare and watermarking. Email: akt@iitj.ac.inGaurav HaritGaurav Harit (PhD 2007) is a professor in the Department of CSE at the IIT Jodhpur since 2010. His areas of interest are document image analysis and video analysis. Email: gharit@iitj.ac.in

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数学表达式识别中的结构分析综述

摘要数学表达式的自动识别是将科学和工程文献转换为电子形式的必要条件。尽管字符和符号识别器在数字化文档方面取得了令人称赞的成绩，但结构分析器在正确解释数学表达式方面仍然面临挑战。这篇综述论文比较了过去处理印刷和手写MEs结构分析的作品的突出方面。就我们所知，目前还没有对数学表达式识别中的结构分析方法进行系统的研究。提出了语义分析中不同语法的区别及其产生规则。我们的研究提供了现有数据集的信息，它们的理想属性，不同的评估方法，所使用的技术的不同方面以及结构分析的未来研究方向。关键词:深度学习数学表达式识别离线在线结构分析语法解析披露声明作者未报告潜在的利益冲突。作者简介ridhi Aggarwal获得电气与电子工程学士学位和电子产品设计与技术硕士学位。她目前正在攻读印度理工学院焦特布尔分校的博士学位。希尔帕·潘迪(2019年博士)，古吉拉特邦潘迪特·迪达耶能源大学CSE系助理教授。Email: shilpaiitj@gmail.comAnil Kumar Tiwari (IEEE成员)，印度理工学院焦特布尔电子工程系教授。他的研究兴趣包括图像和视频压缩算法的开发、噪声最小化、插值、医疗保健和水印。Email: akt@iitj.ac.inGaurav HaritGaurav Harit(2007年博士)，2010年起担任印度理工学院焦特布尔CSE系教授。他感兴趣的领域是文档图像分析和视频分析。电子邮件:gharit@iitj.ac.in

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来源期刊

IETE Technical Review 工程技术-电信学

CiteScore

5.70

自引率

4.20%

发文量

审稿时长

9 months

期刊介绍： IETE Technical Review is a world leading journal which publishes state-of-the-art review papers and in-depth tutorial papers on current and futuristic technologies in the area of electronics and telecommunications engineering. We also publish original research papers which demonstrate significant advances.