Learning to Segment Document Images

A hierarchical framework for document segmentation is proposed as an optimization problem. The model incorporates the dependencies between various levels of the hierarchy unlike traditional document segmentation algorithms. This framework is applied to learn the parameters of the document segmentation algorithm using optimization methods like gradient descent and Q-learning. The novelty of our approach lies in learning the segmentation parameters in the absence of groundtruth.

• Type: Conference
• Year: 2005
• Where: PREMI
• Authors: K. S. Sesh Kumar, Anoop M. Namboodiri, C. V. Jawahar
• Keywords: Document Segmentation, Document Segmentation Algorithm, PREMI 2005, Traditional Document Segmentation