"Generation of search-able PDF of the chemical equations segmented from" by Prerana Jana, Anubhab Majumdar et al.
 

Generation of search-able PDF of the chemical equations segmented from document images

Document Type

Conference Article

Publication Title

DocEng 2016 - Proceedings of the 2016 ACM Symposium on Document Engineering

Abstract

PDF format of scanned document images is not searchable. OCR tries to remedy this adversity by converting document images into editable and searchable data, but it has its own limitations in presence of equations - both mathematical and chemical. OCR system for mathematical equation is already a major research area and has provided success- ful result. However, chemical equation segmentation has been a less ventured road. In this paper, we present a novel method for automated generation of searchable PDF format of segmented chemical equations from scanned doc- ument images by performing chemical symbol recognition and auto-correction of OCR output. We use existing OCR system, pattern recognition technique, contextual data anal- ysis and a standard LATEX package to generate the chemical equation in searchable PDF format. The effectiveness of the proposed method is verified through exhaustive testing on 234 document images.

First Page

147

Last Page

156

DOI

10.1145/2960811.2960822

Publication Date

9-13-2016

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