Intelligent character recognition 3666033 225161204 2008-07-12T05:44:50Z Thorwald 74279 +Cats {{Unreferenced|date=June 2008}} In [[computer science]], '''intelligent character recognition''' ('''ICR''') is an advanced [[optical character recognition]] (OCR) or - rather more specific - [[Handwriting recognition]] system that allows fonts and different styles of [[handwriting]] to be learned by a computer during processing to improve accuracy and recognition levels. Most ICR software has a self-learning system referred to as a [[neural network]], which automatically updates the recognition database for new handwriting patterns. It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition. Because this process is involved in recognising hand writing, accuracy levels may, in some circumstances, not be very good but can achieve 97%+ accuracy rates in reading handwriting in structured forms. Often to achieve these high recognition rates several read engines are used within the software and each is given elective voting rights to determine the true reading of characters. In numeric fields, engines which are designed to read numbers take preference, while in alpha fields, engines designed to read hand written letters have higher elective rights. When used in conjunction with a bespoke interface hub, hand-written data can be automatically populated into a [[back office]] system avoiding laborious manual keying and can be more accurate than traditional human data entry. An important development of ICR was the invention of [[Automated Forms Processing]] in 1993. This involved a three stage process of capturing the image of the form to be processed by ICR and preparing it to enable the ICR engine to give best results, then capturing the information using the ICR engine and finally processing the results to automatically validate the output from the ICR engine. This application of ICR increased the usefulness of the technology and made it applicable for use with real world forms in normal business applications. ==See also== * [[machine learning]] {{technology-stub}} [[Category:Artificial intelligence applications]] [[Category:Applications of computer vision]] [[Category:Automatic identification and data capture]] [[Category:Computational linguistics]] [[Category:Optical character recognition]] [[cs:Intelligent Character Recognition]] [[de:Intelligent Character Recognition]] [[pl:ICR]]