@conference {13540,
	title = {DOCLIB: a Software Library for Document Processing},
	booktitle = {International Conference on Document Recognition and Retrieval XIII},
	year = {2006},
	month = {2006///},
	pages = {1 - 9},
	publisher = {San Jose, CA},
	organization = {San Jose, CA},
	abstract = {Most researchers would agree that research in the field of document processing can benefit tremendously from a common software library through which institutions are able to develop and share research-related software and applications across academic, business, and government domains. However, despite several attempts in the past, the research community still lacks a widely-accepted standard software library for document processing. This paper describes a new library called DOCLIB, which tries to overcome the drawbacks of earlier approaches. Many of DOCLIB{\textquoteright}s features are unique either in themselves or in their combination with others, e.g. the factory concept for support of different image types, the juxtaposition of image data and metadata, or the add-on mechanism. We cherish the hope that DOCLIB serves the needs of researchers better than previous approaches and will readily be accepted by a larger group of scientists.},
	author = {Jaeger,Stefan and Zhu,Guangyu and David Doermann and Chen,Kevin and Sampat,Summit}
}
