MULTISCALE PAGE SEGMENTATION USING WAVELET PACKET ANALYSIS
Przemysław Górecki, Laura Caponetti, Ciro Castiello · Communications to SIMAI Congress · 2007
In this paper, a novel method for document page segmentation using Wavelet Packet analysis is proposed. To discriminate between text and non-text regions, the image is represented by means of a wavelet packet analysis tree. Successively a feature image is introduced to synthetize the information related to some nodes selected from the quadtree. The most discriminant nodes are derived using an optimality criterion and a genetic algorithm. Finally the selected feature image is segmented by means of a Fuzzy C-Means clustering. The approach provides good segmentation results and shows to be invariant to page skew and font variations. [ DOI : 10.1685 / CSC06090] About DOI