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intelligent character recognition wikipedia jump to content main menu main menu move to sidebar hide navigation main page contents current events random article about wikipedia contact us contribute help learn to edit community portal recent changes upload file special pages search search appearance donate create account log in personal tools donate create account log in contents move to sidebar hide top 1 capabilities toggle capabilities subsection 1 1 automated forms processing 2 differences between icr and ocr toggle differences between icr and ocr subsection 2 1 ocr 2 2 icr 3 intelligent word recognition 4 see also 5 reference list toggle the table of contents intelligent character recognition 8 languages català čeština deutsch français 日本語 polski português tiếng việt edit links article talk english read edit view history tools tools move to sidebar hide actions read edit view history general what links here related changes upload file permanent link page information cite this page get shortened url switch to legacy parser print export download as pdf printable version in other projects wikidata item appearance move to sidebar hide from wikipedia the free encyclopedia computer recognition of written text intelligent character recognition icr is a method of extracting handwritten text from images it is a more sophisticated type of ocr technology that recognizes different handwriting styles and fonts to intelligently interpret data from physical documents 1 icr is used to organize paper based unstructured data by scanning documents extracting information and adapting extracted data for database storage icr algorithms collaborate with ocr to automate data entry from forms by removing the need for keystrokes it has a high degree of accuracy and is a dependable method for processing various handwritten media quickly 1 capabilities edit most icr software has a self learning neural network based algorithms which automatically update 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 recognizing 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 automated forms processing edit an important development of icr was the invention of automated forms processing in 1993 by joseph corcoran who was awarded a patent on the invention 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 modern software applications use icr as a technology of recognizing text in forms filled in by hand hand printed differences between icr and ocr edit ocr edit optical character recognition ocr is commonly considered to apply to any recognition technique that reads machine printed text an example of a traditional ocr use case would be to translate the characters from an image of a printed document such as a book page newspaper clipping or legal contract into a separate file that could be searched and updated with a word processor or document viewer it s also quite helpful for automating the processing of forms information can be swiftly extracted from form fields and entered into another application like a spreadsheet or database by zonally applying the ocr engine to those fields yet data is typically manually input rather than typed into form fields character identification becomes even more challenging while reading handwritten material the diversity of more than 700 000 printed font variants is tiny compared to the near unlimited variations in hand printed characters the recognition program must take into account not just stylistic differences but also the kind of writing implement used the standard of the paper errors hand stability and smudges or running ink 2 icr edit intelligent character recognition icr makes use of continuously improving algorithms to collect more information about the variances in hand printed characters and more precisely identify them icr which was created in the early 1990s to aid in the automation of forms processing enables the conversion of manually entered data into text that is simple to read search for and change when used to read characters that are obviously divided into distinct areas or zones such as fixed fields seen on many structured forms it works best 2 both ocr and icr can be configured to read a variety of languages however limiting the expected character set to a smaller number of languages will produce better recognition outcomes icr cannot read cursive handwriting since it must still be able to assess each character individually while writing in cursive it might be difficult to tell where one character ends and another one begins and there are more differences across samples than when hand printing text a more recent method called intelligent word recognition iwr focuses on reading a word in context rather than recognizing individual characters 2 intelligent word recognition edit intelligent word recognition iwr can recognize and extract not only printed handwritten information cursive handwriting as well icr recognizes on the character level whereas iwr works with full words or phrases capable of capturing unstructured information from every day pages iwr is said to be more evolved than hand print icr citation needed not meant to replace conventional icr and ocr systems iwr is optimized for processing real world documents that contain mostly free form hard to recognize data fields that are inherently unsuitable for icr this means that the highest and best use of iwr is to eliminate a high percentage of the manual entry of handwritten data and run on hand print fields on documents that otherwise could be keyed only by humans see also edit optical character recognition ocr document automation document layout analysis document modelling machine learning outsourced document processing text mining reference list edit 1 2 what is intelligent character recognition an introduction to intelligent ocr www docsumo com retrieved 2023 03 19 1 2 3 ocr vs icr what s the difference accusoft retrieved 2023 03 19 retrieved from https en wikipedia org w index php title intelligent_character_recognition oldid 1331884310 categories applications of computer vision automatic identification and data capture computational linguistics optical character recognition hidden categories articles with short description short description matches wikidata all articles with unsourced statements articles with unsourced statements from march 2011 this page was last edited on 8 january 2026 at 18 37 utc page was rendered with parsoid text is available under the creative commons attribution sharealike 4 0 license additional terms may apply by using this site you agree to the terms of use and privacy policy wikipedia is a registered trademark of the wikimedia foundation inc a non profit organization privacy policy about wikipedia disclaimers contact wikipedia legal safety contacts code of conduct developers statistics cookie statement mobile view search search toggle the table of contents intelligent character recognition 8 languages add topic