@conference {13596, title = {Measuring Structural Similarity of Document Pages for Searching Document Image Databases}, booktitle = {5th IASTEDInternational Conference on Signal and Image Processing}, year = {2003}, month = {2003/08//}, pages = {320 - 325}, abstract = {Current document management and database systems provide text search and retrieval capabilities, but generally lack the ability to utilize the documents{\^a}{\texteuro}{\texttrademark} logical and physical structures. This paper describes a general system for document image retrieval that is able to make use of document structure. It discusses the use of structural similarity for retrieval; it defines a measure of structural similarity between document images based on content area overlap, and also compares similarity ratings based on this measure with human relevance judgments.}, author = {Shin,C. and David Doermann and Rosenfeld, A.} }