Multiscale Segmentation of Unstructured Document Pages Using Soft Decision Integration

  • Authors:
  • Kamran Etemad;David Doermann;Rama Chellappa

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1997

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Abstract

We present an algorithm for layout-independent document page segmentation based on document texture using multiscale feature vectors and fuzzy local decision information. Multiscale feature vectors are classified locally using a neural network to allow soft/fuzzy multi-class membership assignments. Segmentation is performed by integrating soft local decision vectors to reduce their "ambiguities."