Abstract

The problem of optical character recognition (OCR) has been studied since the early stages of the computer industry. However, the problem of omnifont text recognition (OTR) (recognition of any kind of document without having information on the typeface) is quite recent. Omnifont text recognition is usually CPU intensive and requires a large amount of memory. This paper discusses an original algorithm developed for specific applications where performing omnifont text recognition is needed but where only limited computer resources are available in term of memory and CPU power. >

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