Multiscale Segmentation of Unstructured Document Pages Using Soft Decision Integration

Kamran Etemad, David S. Doermann, Rama Chellappa

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".