Szczegóły publikacji

Opis bibliograficzny

Simple solution for public transport route number recognition based on visual information / Mikołaj LESZCZUK, Łukasz Skoczylas, Andrzej DZIECH // W: SPA 2013 : Signal Processing : Algorithms, Architectures, Arrangements, and Applications : Poznań, 26–28th September 2013 : conference proceedings / IEEE The Institute of Electrical and Electronics Engineers Inc. Region 8 – Europe, Middle East and Africa. Poland Section. Chapters Signal Processing, Circuits and Systems, Poznań University of Technology. Faculty of Computing. Chair of Control and System Engineering. Division of Signal Processing and Electronic Systems. — Poznań : PUT, [2013]. — ISBN: 978-83-62065-15-8; e-ISBN: 978-83-62065-17-2. — S. 32–38. — Bibliogr. s. 38, Abstr.

Autorzy (3)

Słowa kluczowe

OCRAndroid mobile operating systemsC/C++/Javacomputer vision

Dane bibliometryczne

ID BaDAP76391
Data dodania do BaDAP2013-10-07
Rok publikacji2013
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaSignal Processing Algorithms, Architectures, Arrangements, and Applications 2013

Abstract

Freedom of movement is a major challenge for people with visual impairments. Movement in urban spaces is a particular problem. Hence, the aim of this study was to develop a method for locating and recognizing a public transport route number on the basis of visual information collected using smart-phone cameras. The proposed image processing algorithm, based on photos of oncoming buses or trams, generates text information of the route number of the oncoming vehicle using Computer Vision (CV) and Optical Character Recognition (OCR) techniques. The accuracy of the public transport route number identification based on a single image is approximately 60%. However, by collecting the results of a series consecutive shots, a recognition performance of over 85% is obtained.

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