Thesis Details

Mobilní aplikace pro skenování a rozpoznávání pokladních účtenek

Bachelor's Thesis Student: Bambuch Vladislav Academic Year: 2015/2016 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Mobile App for Scanning and Recognition of Cashier Bills
Language
Czech
Abstract
The aim of this thesis is to develop a mobile application which allows photographing of cashier bills and offers a function of finance management via an intuitive graphical user interface. 
The app uses OCR technology to digitize the prices of receipts and follows the new Android Material Design trends.
The price marking of the particular items is carried out on the taken receipt. When the user indicates particular prices by clicking on them they are summed up into the final amount. Users are able to save such final amounts together with other related information and record statistics about their spending. 
That results in a fast and very easy way of adding the purchase records which are available both in form of organized summaries and graphs.
Keywords

expense management, expense tracker, receipt scanner, accountancy in phone, simple user interface, receipt mangement, Android OCR, spending on the phone, money tracker, bill scanner, BillScanner

Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
16 June 2016
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
BAMBUCH, Vladislav. Mobilní aplikace pro skenování a rozpoznávání pokladních účtenek. Brno, 2016. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-16. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/17983/
BibTeX
@bachelorsthesis{FITBT17983,
    author = "Vladislav Bambuch",
    type = "Bachelor's thesis",
    title = "Mobiln\'{i} aplikace pro skenov\'{a}n\'{i} a rozpozn\'{a}v\'{a}n\'{i} pokladn\'{i}ch \'{u}\v{c}tenek",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2016,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17983/"
}
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