OCR Software--Optical Character Recognition or Optical Crud Recognition?

Optical Character Recognition (OCR) refers to aand skews are now common on the more
software technology and processes that involveadvanced document scanners.Furthermore,
the translation of printed text into computeradvanced color filter technologies may be used to
searchable text.Done correctly, OCR enablesreduce any page background colors, in conjunction
users to search for and retrieve individual wordswith multi-light image capture technologies to
contained within a file or page. In addition, when aremove any shadows cast by page creases that
set of files is indexed, users are able to searchcould impact image quality or recognition
for keywords across an entire document libraryaccuracy.Once document scanning and processing
and retrieve each page with exact precision. OCRare complete, an OCR text layer can actually be
enables users to execute searches in seconds,added and hidden behind each image. An additional
searches that once could take several hours ororientation filter can be used to ensure that the
days to complete.However, this technology didbest image is presented to the OCR engines.To
not work well on older or poor quality documentsachieve the highest conversion accuracy possible,
that contained mixed fonts or combinations ofthe characters in the image can be processed
texts and graphics. Until now!!Due to severalusing multi-engine OCR voting technologies that
recent technology advances, it is now possible torank each character to determine the best text
obtain six-sigma level character accuracy fromrecognition fit. Then once a word is generated, it
these types of document collections.Although it iswill be filtered through a proprietary lexicon to
important to keep in mind that the quality andensure the highest quality results.Finally, this text
condition of the paper documents are still keycan be processed utilizing sophisticated layout
factors in the successful OCR conversion,retention technologies to represent the image
dramatically improved results can be obtained bytext layout, to provide the best possible text
enhancing the quality of the scanned image priorrepresentation for precise search and retrieval.
to processing.Noise removal of borders, speckles