Active contour based optical character recognition for automated scene understanding

Joanna Isabelle Olszewska*

*Corresponding author for this work

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)65-71
Number of pages7
JournalNeurocomputing
Volume161
Early online date9 Mar 2015
DOIs
Publication statusPublished - 5 Aug 2015
Externally publishedYes

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Keywords

  • Pattern recognition
  • Information fusion
  • Fast segmentation
  • Scene-text localization and extraction
  • Active contours
  • Snake evolution

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