Abstract
In this paper, we describe a system to perform Document Image Retrieval in Digital Libraries. The system allows users to retrieve digitized pages on the basis of layout similarities and to make textual searches on the documents without relying on OCR. The system is discussed in the context of recent applications of document image retrieval in the field of Digital Libraries. We present the different techniques in a single framework in which the emphasis is put on the representation level at which the similarity between the query and the indexed documents is computed. We also report the results of some recent experiments on the use of layout-based document image retrieval.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Doermann, D.: The indexing and retrieval of document images: A survey. Computer Vision and Image Understanding 70(3), 287–298 (1998)
Mitra, M., Chaudhuri, B.: Information retrieval from documents: A survey. Information Retrieval 2(2/3), 141–163 (2000)
Curtis, J.D., Chen, E.: Keyword spotting via word shape recognition. In: Proceedings of the SPIE - Document Recognition II, pp. 270–277 (1995)
Williams, W., Zalubas, E., Hero, A.: Word spotting in bitmapped fax documents. Information Retrieval 2(2/3), 207–226 (2000)
Tan, C.L., Huang, W., Yu, Z., Xu, Y.: Imaged document text retrieval without OCR. IEEE Transactions on PAMI 24(6), 838–844 (2002)
Marinai, S., Marino, E., Soda, G.: Font adaptive word indexing of modern printed documents. IEEE Transactions on PAMI 28(8), 1187–1199 (2006)
Balasubramanian, A., Meshesha, M., Jawahar, C.: Retrieval from document image collections. In: Bunke, H., Spitz, A.L. (eds.) DAS 2006. LNCS, vol. 3872, pp. 1–12. Springer, Heidelberg (2006)
Jain, A., Vailaya, A.: Shape-based retrieval: a case study with trademark image databases. Pattern Recognition 31(9), 1369–1390 (1998)
Terrades, O.R., Valveny, E.: Radon transform for linear symbol representation. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 700–704 (2003)
Pareti, R., Uttama, S., Salmon, J., Ogier, J.M., Tabbone, S., Wendling, L., Adam, S., Vincent, N.: On defining signatures for the retrieval and the classification of graphical drop caps. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 220–231. IEEE press, Los Alamitos (2006)
Rath, T., Manmatha, R.: Features for word spotting in historical manuscripts. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 218–222 (2003)
Jain, A.K., Namboodiri, A.M.: Indexing and retrieval of on-line handwritten documents. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 655–659 (2003)
Srihari, S.N., Shetty, S., Chen, S., Srinivasan, H., Huang, C., Adam, G., Frieder, O.: Document image retrieval using signatures as queries. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 198–203. IEEE press, Los Alamitos (2006)
Hu, J., Kashi, R., Wilfong, G.: Comparision and classification of documents based on layout similarity. Information Retrieval 2(2/3), 227–243 (2000)
Tzacheva, A., El-Sonbaty, Y., El-Kwae, E.A.: Document image matching using a maximal grid approach. In: Proceedings of the SPIE Document Recognition and Retrieval IX, pp. 121–128 (2002)
Marinai, S., Marino, E., Soda, G.: Layout based document image retrieval by means of XY tree reduction. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 432–436 (2005)
Duygulu, P., Atalay, V.: A hierarchical representation of form documents for identification and retrieval. International Journal on Document Analysis and Recognition 5(1), 17–27 (2002)
Huang, M., DeMenthon, D., Doermann, D., Golebiowski, L.: Document ranking by layout relevance. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 362–366 (2005)
Liu, H., Feng, S., Zha, H., Liu, X.: Document image retrieval based on density distribution feature and key block feature. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 1040–1044 (2005)
Behera, A., Lalanne, D., Ingold, R.: Enhancement of layout-based identification of low-resolution documents using geometric color distribution. In: Proc. 8th Int.l. Conf. Document Analysis and Recognition, pp. 468–472 (2005)
Marukawa, K., Hu, T., Fujisawa, H., Shima, Y.: Document retrieval tolerating character recognition errors - evaluation and application. Pattern Recognition 30(8), 1361–1371 (1997)
Madhvanath, S., Govindaraju, V.: The role of holistic paradigms in handwritten word recognition. IEEE Transactions on PAMI 23(2), 149–164 (2001)
Rath, T.M., Manmatha, R., Lavrenko, V.: A search engine for historical manuscript images. In: SIGIR 2004, pp. 369–376 (2004)
Kohonen, T.: Self-organizing maps. Springer Series in Information Sciences (2001)
Marinai, S., Marino, E., Soda, G.: Indexing and retrieval of words in old documents. In: Proc. 7th Int.l. Conf. Document Analysis and Recognition, pp. 223–227 (2003)
Nagy, G., Seth, S.: Hierarchical representation of optically scanned documents. In: Proc. 7th ICPR, pp. 347–349 (1984)
Marinai, S., Marino, E., Cesarini, F., Soda, G.: A general system for the retrieval of document images from digital libraries. In: Proc. Int.l. Workshop Document Image Analysis for Libraries, pp. 150–173. IEEE press, Los Alamitos (2004)
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marinai, S., Marino, E., Soda, G. (2007). Exploring Digital Libraries with Document Image Retrieval. In: Kovács, L., Fuhr, N., Meghini, C. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2007. Lecture Notes in Computer Science, vol 4675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74851-9_31
Download citation
DOI: https://doi.org/10.1007/978-3-540-74851-9_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74850-2
Online ISBN: 978-3-540-74851-9
eBook Packages: Computer ScienceComputer Science (R0)