There are a lot of abbreviations and market-speak when it comes to the variety of technologies commercially available to solve the image-to-data problem. OCR, ICR, ACR, NHR, etc. Then there are specific applications of these technologies that further complicate things. Abbreviations like CAR/LAR, MICR, etc. So what are the major differences between OCR and ICR and […]
4 Common Misleading Myths about ICR
According to the recent AIIM research “Shedding Light on the Dark Data in your Document Capture Processes,” the use of OCR, OMR and barcode recognition is the highest level of recognition technology achieved by nearly 80% of survey respondents. While 22% are using some type of handwriting recognition, it is mostly constrained hand print in […]
Shedding Light on the Dark Data in your Document Capture Processes [Infographic]
AIIM just released a new infographic that highlights findings from the Parascript-sponsored research on dark data—Shedding Light on the Dark Data in your Document Capture Processes. This infographic presents current uses of capture, where dark data exists and the business value of handwritten keywords and signatures. Check out the infographic to see where you stack […]
Can I use ICR on PDF Documents?
Most, if not all, PDF documents that come across your computer probably contain only machine-printed text, such as invoices, contracts, etc. And nowadays you can easily read, and even edit, the contents with any standard OCR (optical character recognition) software. But what if you have a PDF with handwriting in it? Can you still capture […]
Behind the Curtain of Handwritting Recognition
Something that comes-up from time to time is the question “how accurate is your handwriting recognition technology”? It’s not a terribly surprising question as accuracy IS important. Also, the conceptual similarity to recognition of machine print (often called OCR) and business familiarity with that technology and its high accuracies makes folks curious. Just how good […]
Three Types of Dark Data that Get Missed
Organizations today are looking for ways to shed light on “Dark Data” – information that organizations have available to collect, process and store during regular business activities, but that gets overlooked, lost, or is left unused in the process. It includes, among other things, handwritten data that exists on forms, contracts, and a variety of […]
Does Handwriting Recognition Software Have a Self-Learning Capability?
Recognizing handwriting is not an easy task, either by a person or by a computer. Think about it, how often have you looked at your own handwriting and can’t even read it? The development that is required for handwriting recognition software is monumental. Parascript has been working on this technology for over 20 years. We […]
What is Dark Data and Why Should I Care?
Dark Data. It’s big and elusive, and still a new concept. Sounds a bit like Big Data a few years ago. This article will help define dark data, what it means to the document capture space and why it presents such critically important opportunities. What is Dark Data? Dark Data is a pretty mysterious term. […]
3 Reasons You Should Capture the Value of Handwritten Data
First developed over 30 years ago, capture systems are a popular way to capture and digitize information that would otherwise be locked on paper. Indeed, it is common to scan a physical page and automatically extract bits of printed information so that the newly created digital version can be more easily stored and found. This […]
ICR Software 101: Handprint Recognition
Intelligent Character Recognition (ICR) converts hand printed characters to their machine print (ASCII) equivalents, representing a significant step forward in technology when compared to OCR systems that only read machine print. The ability to recognize handprint significantly broadens the range of applications that benefit from automated ICR solutions. Because ICR can handle variations in character shape, the […]
Is Handwriting Recognition for Real?
When there’s handwriting on a document, most people think they have to manually enter the information. There is a lot of skeptism regarding the accuracy of automated handwriting recognition and what the technology is actually capable of reading. OCR (Optical character recognition) is a well-known technology able to recognize machine print text with accuracy rates […]
Practical Ideas for Extending Health Data with Handwritten Notes
I recently sat-in on a great HIMMS webinar called “Extending Your EMR with Business Intelligence Solutions” that has a lot of great examples of how analytics can be applied to health information stored within electronic medical and health records. Just as I was about to question where scanned or handwritten information played in this healthcare “revolution” […]