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CVL OCR DB, an annotated image database of texts in natural scenes, and its usability

Andrej Ikica and Peter Peer CVL OCR DB, an annotated image database of texts in natural scenes, and its usability. Informacije MIDEM 41(2011)2, 41 (2). pp. 150-154. ISSN ISSN0352-9045

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    Official URL: http://www.midem-drustvo.si/Journal/Home.aspx

    Abstract

    Text detection and optical character recognition (OCR) in images of natural scenes is a fairly new computer vision area but yet very useful in numerous applicative areas. Although many implementations gain promising results, they are evaluated mostly on the private image collections that are very hard or even impossible to get. Therefore, it is very difficult to compare them objectively. Since our aim is to help the research community in standardizing the evaluation of the text detection and OCR methods, we present CVL OCR DB, a public database of annotated images of text in diverse natural scenes, captured at varying weather and lighting conditions. All the images in the database are annotated with the text region and single character location information, making CVL OCR DB suitable for testing and evaluating both text detection and OCR methods. Moreover, all the single characters are also cropped from the original images and stored individually, turning our database into a huge collection of characters suitable for training and testing OCR classifiers.

    Item Type: Article
    Keywords: computer vision, text detection, optical character recognition, natural scenes
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 1634
    Date Deposited: 21 Mar 2012 17:40
    Last Modified: 23 Apr 2012 16:49
    URI: http://eprints.fri.uni-lj.si/id/eprint/1634

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