ICR (Intelligent Character Recognition) is a form of advanced optical character recognition (OCR) technology that aims to address all of the shortcomings of regular OCR systems in terms of handling various types of text interpretation challenges.
ICR is a popular DMS technology that uses artificial neurons to recognize and analyze handwriting.
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Intelligent Character Recognition: How It Works and What It Can Do (ICR)
Intelligent Character Recognition artificial neural networks can decipher a wide range of novel handwriting fonts and styles, allowing the system to self-learn with each experience.
It means that the ICR automatically updates its recognition database whenever it is exposed to new types of data. Artificial neuron networking aids the system in prediction as more datasets are acquired.
The system does not need to be reconfigured with ANN. With a range of indirect and sophisticated databases, it also improves advanced OCR software in the accumulation and prediction of missing data.
As a result, with each engagement, the ANN compares new data with old data, as well as past formats and styles, to arrive at the highest level of accuracy feasible. The more information you provide the neural networks, the more exact they become.
Instead of locating corresponding characters, ICR begins by finding a general pattern.
Because the procedure relies on information gathered from working with a variety of handwritings, the accuracy levels may not be ideal in some situations.
To constantly improve the system’s alphanumeric recognition rates, multiple read engines are used.
Application of ICR to Modern Technologies
ICR systems that include artificial intelligence and machine learning improve their ability to recognize both structured and unstructured types of alphabetic and cursive handwriting over time.
As a result, the Intelligent Character Recognition system has been widely utilized in a variety of platforms and new technologies for optimizing workplace operations, such as Robotic Process Automation (RPA) and OMR.
Because it complements their work design, ICR software is a good consolidation for electronic archiving (e-archiving or EDMS) and document management software (DMS).
ICR has its own evolved version called IWR, just as OCR is fundamentally an extended version of ICR.
Unlike standard ICR, which works from printed character recognition to hand-written text identification, IWR stands for Intelligent Word Recognition, which can recognize whole words or phrases.
IWR is used to scan and decipher unconstrained handwritten text at its best.
Organizations can combine their technology with OCR and IWR to simplify and accelerate the digitization and transcription of a variety of forms and documents. And use a document verification service to verify the document.
What is the process of using intelligent character recognition (ICR) software?
Machine learning techniques are commonly used in ICR systems to improve their ability to learn continually. The neural network learns from a variety of handwritten texts, allowing it to train on a variety of styles and formats. It also compares each character or font to its constantly updated database to find the best match.
ICR can already recognize sloppy most handwritten documents that even most people would find difficult to interpret because of artificial intelligence and machine learning.
What is the Role of ICR in Different Organizations?
Some businesses are keen to put RPA (Robotic Process Automation) to the test in order to automate certain procedures. Despite the fact that most of these businesses are unable to use RPA to scan, extract, and store massive amounts of handwritten documents. Consumers fill out several paper-based forms by hand, such as loan applications and tax certificates. Companies devote a significant amount of time and effort to converting handwritten writings to computer systems and software.
Manually performing it, on the other hand, could expose the company to errors and slow down the entire process. Organizations have considerably increased the speed of scanning and extracting handwritten texts since the debut of ICR technologies.
How to Implement an ICR System in Your Company
- Try to grasp ICR’s limitations as well as its intended application in your company. ICR, on the other hand, can handle a wide range of documents. Intelligent character recognition software must be properly educated before it can be used to recognize diverse projects.
- ICR systems have a limit, below which papers must be manually reviewed and authorized.
- More data should be used to train the ICR algorithm because more data will produce better results. However, it is preferable to train ICR systems using data that has previously been utilized and received from clients.