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Handbook of Document Image Processing and Recognition pp 223–253Cite as

Page Similarity and Classification

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Abstract

Document analysis and recognition techniques address several types of documents ranging from small pieces of information such as forms to larger items such as maps. In most cases, humans are capable of discerning the type of document and therefore its function without reading the actual textual content. This is possible because the layout of one document often reflects its type. For instance, invoices are more visually similar to one another than they are to technical papers and vice versa. Two related tasks, page classification and page retrieval, are based on the analysis of the visual similarity between documents and are addressed in this chapter. These tasks are analyzed in this chapter in a unified perspective because they share several technical features and are sometimes adopted in common applications.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, Università degli studi di Firenze, Firenze, Italy

    Simone Marinai

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  1. Simone Marinai
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Correspondence to Simone Marinai .

Editor information

Editors and Affiliations

  1. University of Maryland, College Park, MD, USA

    David Doermann

  2. Université de Lorraine, Nancy, France

    Karl Tombre

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Marinai, S. (2014). Page Similarity and Classification. In: Doermann, D., Tombre, K. (eds) Handbook of Document Image Processing and Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-859-1_7

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