Thesis Details

Online nástroj pro rozpoznávání tabulek v obrázcích

Bachelor's Thesis Student: Inhliziian Bohdan Academic Year: 2018/2019 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Online Tool for Recognition of Tables in Images
Language
Czech
Abstract

This work solves the problem of recognising the tables in the figures. The goal is to convert the table into an XLS file thought web application.

For line detection we have used the Probablistic Hough Transform algorithm and Tesse- ract tool was used to detect text in cells. The program was stored to the Amazon AWS and accessed by the web app using the API. An algorithm for line merging has been created, as well as an algorithm for removing lines that do not belong to the table and removing wrong detected lines (text, noise).

The solution provides users who manually overwrite data from tables in documents, books, use a program that does everything automatically, you only need to upload photos to a web application.

Keywords

Table recognition, table detector, convert table to XLSX, extrakt text from table, Hough Transform.

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
not defended
Date
29 August 2019
Reviewer
Kišš Martin, Ing.
Committee
Růžička Richard, doc. Ing., Ph.D., MBA (DCSY FIT BUT), předseda
Dytrych Jaroslav, Ing., Ph.D. (DCGM FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
INHLIZIIAN, Bohdan. Online nástroj pro rozpoznávání tabulek v obrázcích. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-08-29. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/21683/
BibTeX 
@bachelorsthesis{FITBT21683,
    author = "Bohdan Inhliziian",
    type = "Bachelor's thesis",
    title = "Online n\'{a}stroj pro rozpozn\'{a}v\'{a}n\'{i} tabulek v obr\'{a}zc\'{i}ch",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21683/"
}

Theses

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