DenseNet-based Attention Network to recognize Handwritten Mathematical Expressions

Sakshi Sakshi, Sachin Lodhi, Vinay Kukreja, Manish Mahajan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Machine learning-based translation models have recently hit the trend line and impacted the pace of research in Natural Language Processing. The emerging trend of the era witnesses' transformation networks overpowering all existing influences of deep learning-based systems: the intelligent transformer system's attention-based encoder-decoder's robustness and exceptional performance display scope for modest research. In terms of handwritten mathematical text recognition, these systems need more attention. This article presents an attention-based encoder-decoder-based transformation model that has been produced and trained for an extensive database of mathematical expressions that have been collected from localities of Punjab and Madhya Pradesh schools, colleges and universities. Mathematical expressions are an essential component of education and scientific learning opportunities. Thus, the article's novel approach is to predict them based on their handwritten source using an encoder-decoder-based neural network. Massively, 101400 images from the corpus have been preprocessed, segmented, and recognized using the built network. The proposed attention-based dense encoder with GRU-based Decoder with attention mechanics gives us an ExpRate of 57.4% on the created corpus. It exhibits a competent ExpRate of 58% on CROHME 2016, outperforming many state-of-the-art models.

Original languageEnglish
Title of host publication2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665474337
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes
Event10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022 - Noida, India
Duration: 13 Oct 202214 Oct 2022

Publication series

Name2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2022

Conference

Conference10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022
Country/TerritoryIndia
CityNoida
Period13/10/2214/10/22

Keywords

  • Attention mechanism
  • Decoder
  • education and development
  • educational needs
  • educational strategies
  • Encoder
  • Handwritten Mathematical Expressions
  • inclusion and education
  • recognition
  • Segmentation
  • Transformer network
  • UNet

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management

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