A non-contact method of capturing low-resolution text for OCR

M Mirmehdi, P Clark, J Lam

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

6 Citations (Scopus)


Document recognition is a lively research area with much effort concentrated on optical character recognition. Less attention is paid to locating and extracting text from the general (non-desktop, non-scanner) environment. Such contact-free extraction of text from a general scene has applications in the context of wearable computing, robotic vision, point and click document capture, or as an aid for visually handicapped people. Here, a novel automatic text reading system is introduced using an active camera focused on text regions already located in the scene (using our recent work). Initially, a located region of text is analysed to determine the optimal zoom that would foveate onto it. Then a number of images are captured over the text region to construct a high-resolution mosaic composite of the whole region. This magnified image of the text is suitable for reading by humans or for recognition by OCR, or even for text-to speech synthesis. Although we employed a low resolution camera, we still obtained very good results.
Translated title of the contributionA non-contact method of capturing low-resolution text for OCR
Original languageEnglish
Pages (from-to)12 - 22
Number of pages10
JournalPattern Analysis and Applications
Publication statusPublished - Apr 2003


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