Olszewska, Joanna Isabelle (2015) Active contour based optical character recognition for automated scene understanding. Neurocomputing, 161. pp. 65-71. ISSN 09252312Full text not available from this repository.
In this paper, we present a new optical character recognition (OCR) approach which allows real-time, automatic extraction and recognition of digits in images and videos. Our method relies on active contours in order to robustly extract optical characters from real-world visual scenes. The detected character recognition is based on template matching. Our developed system has shown excellent results when applied to the automated identification of team players' numbers in sport datasets and has outperformed state-of-the-art methods.
|Uncontrolled Keywords:||Pattern recognition; Information fusion; Fast segmentation; Scene-text localization and extraction; Active contours; Snake evolution|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
|Divisions:||Faculty of Business, Computing and Applied Sciences > School of Computing and Technology > Technical Computing|
|Research Priority Areas:||Innovation, Design and Technology|
|Depositing User:||Susan Turner|
|Date Deposited:||22 Jan 2016 16:00|
|Last Modified:||30 Sep 2016 11:43|