Active Contour based Automatic Feedback for Optical Character Recognition

Joanna Isabelle Olszewska · 2014

In this paper, we present a new optical character recognition approach. Our method combines chromaticitybased character detection with active contour segmentation in order to robustly extract optical characters from real-world images and videos. The detected character is recognized using template matching. Our developed approach has shown excellent results when applied to the automatic identification of team players from online datasets and is more efficient than the state-of-the-art methods.

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