DocumentCode
1722019
Title
Banknote recognition for visually impaired
Author
Solymár, Zóra ; Stubendek, Attila ; Radványi, Mihály ; Karacs, Kristóf
Author_Institution
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
fYear
2011
Firstpage
841
Lastpage
844
Abstract
Recognition of banknotes is a prevalent problem for blind and visually impaired people. The bionic eyeglass is a mobile platform that integrates several common visual detection and recognition functions. Relevant shapes are extracted from the image flow of the banknote shown to the mobile camera using adaptive thresholding and morphological shape filters. In a two-level classification scheme different classifiers are used for different categories of patches (portrait, denomination, tactile marks), and the votes are combined through an ensemble decider. The confidence of the decision is established if the same class recurs through several frames. The system has been tested on blind subjects using a cell phone based prototype, and the results showed that they quickly became confident using it.
Keywords
cameras; cellular radio; eye; handicapped aids; image classification; medical image processing; sensory aids; adaptive thresholding; banknote recognition; bionic eyeglass; cell phone based prototype; denomination; ensemble decider; image classifier; image extraction; image flow; mobile camera; mobile platform; portrait; recognition function; shape morphology filter; tactile marks; two level classification scheme; visual detection; visually impaired aid; Cameras; Feature extraction; Image color analysis; Mobile communication; Shape; Training; Visualization; banknote recognition; real-time video processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit Theory and Design (ECCTD), 2011 20th European Conference on
Conference_Location
Linkoping
Print_ISBN
978-1-4577-0617-2
Electronic_ISBN
978-1-4577-0616-5
Type
conf
DOI
10.1109/ECCTD.2011.6043828
Filename
6043828
Link To Document