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Handprinted Character and Word Recognition

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Handbook of Document Image Processing and Recognition

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Abstract

The handprinted texts are produced when the writer tries to emulate some standard printed representation of the characters with the goal to make the written texts legible. Postal address blocks, different fillable forms, or other documents are among the examples of handprinting. Current chapter reviews the main techniques in recognizing handprinted characters and words. It outlines the characteristics of the handprinted texts, such as the stroke structure, distribution of strokes inside character bounding box, and frequently separated characters. Then it investigates how the reviewed techniques address such characteristics of the handprinted texts.

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Authors and Affiliations

  1. Center for Unified Biometrics and Sensors, University at Buffalo, 14228, Amherst, USA

    Sergey Tulyakov

  2. Department of Computer Science & Engineering, Center for Unified Biometrics and Sensors, University at Buffalo, 520 Lee Entrance, 14228, Amherst, USA

    Venu Govindaraju

Authors
  1. Sergey Tulyakov
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  2. Venu Govindaraju
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Correspondence to Sergey Tulyakov .

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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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Tulyakov, S., Govindaraju, V. (2014). Handprinted Character and Word Recognition. 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_11

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