Text localization and recognition in images and video

Research output: Chapter in Book/Report/Conference proceedingChapter

21 Citations (Scopus)

Abstract

This chapter reviews techniques on text localization and recognition in scene images captured by camera. Since properties of scene texts are very different from scanned documents in various aspects, specific techniques are necessary to localize and recognize them. In fact, localization of scene text is a difficult and important task because there is no prior information on the location, layout, direction, size, typeface, and color of texts in a scene image in general and there are many textures and patterns similar to characters. In addition, recognition of scene text is also a difficult task because there are many characters distorted by blurring, perspective, nonuniform lighting, and low resolution. Decoration of characters makes the recognition task far more difficult. As reviewed in this chapter, those difficult tasks have been tackled with not only modified versions of conventional OCR techniques but also state-of-the-art computer vision and pattern recognition methodologies.

Original languageEnglish
Title of host publicationHandbook of Document Image Processing and Recognition
PublisherSpringer London
Pages843-883
Number of pages41
ISBN (Electronic)9780857298591
ISBN (Print)9780857298584
DOIs
Publication statusPublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Uchida, S. (2014). Text localization and recognition in images and video. In Handbook of Document Image Processing and Recognition (pp. 843-883). Springer London. https://doi.org/10.1007/978-0-85729-859-1_28