ICR technology: human handwriting is no longer a trouble to process
Papers are the center of most offices. Companies’ paperwork increases extensively as companies expands their operations. They have become the staples of an office; their role is quite inseparable from it. Even though the 21st century’s enterprises operate around digital E-mails and scanned documents, common office space is rife with static papers as well.
For example WRAP (Waste and Resources Action Program), a waste management firm, estimates that the average office worker uses up to 45 sheets of paper per day, a considerable portion of which should consist of handwritten documents. Whether it is insurance claims handling, education system applications, bank account opening, customer onboarding, or supply chain management, they are in most instance come with handwriting.
Despite several best efforts, it’s still a challenge to find a durable and consistent solution to replace hand-filled paper documentation. Hand-printed data on checks, data collection surveys, transcripts, medical prescriptions, correspondences, tax forms, and signatures are, in effect, the tip of the iceberg.
So what are the actual difficulties? Simply put, handwritten documents are immense troublemakers when it comes to identifying, classifying, and extracting the wealth of information from them. Unlike legible characters and evenly spaced texts found in electronically printed papers, handwritten documents are excessively populated with cursive handwriting that varies in accord with the different persons producing them. How is an ordinary officer supposed to decipher hand-filled surveys and graffiti-like handwriting? It’s evident that something more efficient, intelligent, and reliable should be expected to take over the place of repetitious, monotonous, and unrewarding document practices.
In the most recognizable series of character recognition technologies, Intelligent Character Recognition (ICR) is gaining much attention. Well, what’s so new and distinct about it? Whereas even developed companies are grappling with the handwritten paperwork to extract essential insights from it, ICR simplifies the process of data extraction.
It is indeed a disruptive technology since it has empowered character recognition process with keen perception. To its credits, ICR is wholly made up of and the fully-developed offspring of advanced cognitive technologies. Equipped with ICR, Kaptiche effectively captures human handwriting, which has initially been deemed non-automatable.
The inner working of Intelligent Character Recognition comprises the best cognitive technologies the current market has to offer. The outer shell of ICR, which represents its simple goal of recognizing and extracting human handwriting, contains within itself a threefold technical tours de force:
- Machine Learning (ML)
- Cognitive Document Automation (CDA)
- Artificial Intelligence (AI)
So how do this triad of machinery work together to make Kaptiche’s ICR a cutting-edge technology? Machine learning allows Kaptiche to learn and trace the patterns of handwriting over time gradually. CDA automates the entire key data capture processes such as document classification, validating, and finally extracting the handwritten documents. It is human-like cognition at its best. Artificial Intelligence provides Kaptiche with an ability to mimic the human mind.
To illustrate, the word “Sun” is simple to print, and the scanning system detects the phrase quite easily. But when we write it on a sheet of paper, we scribble it down in multiple variations. Perhaps “Sun” might be misspelled as “Son,” connoting an entirely different meaning to the context. A scribe, a person who copies manuscripts, may identify these errors by understanding the context, which a machine just cannot.
In the case of Intelligent Character Recognition, this peculiar trait of a scribe is bestowed upon the machine by AI. Kaptiche identifies the context and interprets varying fonts and renders the written characters into coherent and digitally editable information. So the next time when a customer brings a set of handwritten application forms, for example, Kaptiche is quick and trustworthy to capture those sloppy scribblings and make them meaningful and actionable insights. By adopting the trinity of skillsets, Kaptiche has greater mobility, accuracy, and quickness.