Active contour based optical character recognition for automated scene understanding

作者: Joanna Isabelle Olszewska

DOI: 10.1016/J.NEUCOM.2014.12.089

关键词: Template matchingComputer sciencePattern recognitionIntelligent character recognitionIdentification (information)Pattern recognition (psychology)Artificial intelligenceActive contour modelThree-dimensional face recognitionOptical character recognitionComputer vision

摘要: In this paper, we present a new optical character recognition (OCR) approach which allows real-time, automatic extraction and of digits in images videos. Our method relies on active contours order to robustly extract characters from real-world visual scenes. The detected is based template matching. developed system has shown excellent results when applied the automated identification team playersÂ? numbers sport datasets outperformed state-of-the-art methods.

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