Most of us have used the OCR technology in our daily lives to send and receive multiple media. It is a great tool to have in everyday life which is quick and works most of the time. People convert multiple forms of documents such as receipts, posters. And other pieces of informational copies to digital text files for easier access and editing of the document. Develop in the early 1900s OCR is still widely use with several new advancements up its sleeve. That enable new scanning and extraction techniques.
What is ICR Technology?
The term ICR stands for Intelligent Character Recognition. It is an evolved approach to OCR technology that uses newer wizardries of this digital world. The ICR technology is responsible for creating machine-readable text files from manually entered forms of data, With the term manually entered data, it refers to multiple forms of text in different fonts and styles. The intelligent character recognition algorithm is based on the neural networking principles of computing because of which it intelligently adapts to detecting new types of text and styles.
ICR recognition technology is a self-learning technique that learns automatically after scanning a number of items. With a base of artificial intelligence, it can become super-efficient that it starts to convert even handwritten text information into digital text files with minimum error rate. The tests were conducted by scanning multiple human written textual files with the ICR system; the intelligent character recognition system came out with a 97% rate of successful conversion from handwritten text into a machine-readable digital copy of the information.
Technologies That Make ICR More Powerful
As discussed briefly, the ICR system is a step forward in the optical character recognition system as it automates the process into an intelligently managed character recognition and processing system. The major technology used in the making of ICR is the complete utilization of artificial intelligence and its subfields, especially the Neural Networks. With the help of neural networks, the system is a self-learning system due to which the ICR engine is able to learn from scanning multiple items of data, it automatically generates efficient outputs that enable the system to convert the data into digital text files.
After the self-learning technique of ICR, the machine intelligent reading process also distinguishes it from the old OCR systems. Its reading is efficient with new methods of evaluating the text and background of the image. With the help of machine learning, the ICR database is larger with more information related to newer glyphs and numerics. Document Verification service is also used for this purpose.
Capabilities of ICR over OCR
The OCR system was efficient enough to convert images scanned from physical copies of printed computerized texts. It involves multiple processes of analyzing and processing the texts and creating a digital copy from the processed information.
Reads Handwritten Pieces of Text
The introduction of ICR as a major update for the OCR systems just switched the whole perspective of processing and analyzing the document. The ICR system is capable of different scanning and reading abilities that enable the user to extract data from handwritten documents and most of the fonts available online.
Efficiently Reads New Styles And Fonts
The OCR system was not completely efficient in managing new fonts and styles of the language. The ICR system learns from scanning and analyzing multiple documents to determine the characters of the text. It matches the different combinations of alphabets or characters. With the scanned piece of data to find the best possible match of the text.
Automated Forms Processing
Automation with the help of ICR is major progress in the world of character recognition systems. This development was initiated by Joseph Corcoran in 1993 which enable. The ICR technology to efficiently map the images of multiple forms by reading and analyzing. The data fields and implementing the right set of information against the form. The ICR engine reader uses intelligent recognition to process the input fields and creates the efficient possible outcome against it automatically.
Automated Forms processing is a bedrock of document automation which is a major part of most digital verification systems. The Document automation process is used by various sectors, especially by the legal authorities as a part of the identity verification process.
Wrapping it Up
ICR technology is a great improvement over OCR technology. With the introduction of OCR in mobile phones, the whole perspective has changed. As it has become super easy to scan and convert images into machine-readable text by using your mobile cameras. The ICR has become even better with the use of new technologies of the new time. The automate world of artificial intelligence and especially neural networking has helped. OCR technology evolve into ICR technology with more ways to read and convert information intelligently.