Text Detection in Natural Scene Images using Spatial Histograms

نویسندگان

  • Shehzad Muhammad Hanif
  • Lionel Prevost
چکیده

In this paper, we present a texture-based text detection scheme for detecting text in natural scene images. This is a preliminary work towards a complete system of text detection, localization and recognition in order to help visually impaired persons. We have employed spatial histograms computed from gray-level co-occurrence matrices for texture coding and three classifiers have been evaluated. Moreover, one feature selection mechanism is employed to select those histogram components that exhibit high discrimination power. The texture coding scheme is simple and can readily differentiate between text and non-text. The proposed scheme is evaluated on 50 images taken from ICDAR 2003 robust reading and text locating database. The results are encouraging with a text detection rate of 66% and a false alarms rate of 22% .

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تاریخ انتشار 2007