Recognising text in real scenes

P Clark, M Mirmehdi

Research output: Contribution to journalArticle (Academic Journal)peer-review

77 Citations (Scopus)


We present two different approaches to the location and recovery of text in images of real scenes. The techniques we describe are invariant to the scale and 3D orientation of the text, and allow recovery of text in cluttered scenes. The first approach uses page edges and other rectangular boundaries around text to locate a surface containing text, and to recover a fronto-parallel view. This is performed using line detection, perceptual grouping, and comparison of potential text regions using a confidence measure. The second approach uses low-level texture measures with a neural network classifier to locate regions of text in an image. Then we recover a fronto-parallel view of each located paragraph of text by separating the individual lines of text and determining the vanishing points of the text plane. We illustrate our results using a number of images.
Translated title of the contributionRecognising text in real scenes
Original languageEnglish
Pages (from-to)243 - 257
Number of pages14
JournalInternational Journal on Document Analysis and Recognition
Volume4 (4)
Publication statusPublished - Aug 2002


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