New advances in handwriting recognition & data capture offer three important reasons to get a handle on & gain access to your handwritten data.
ICR software for handwriting transforms dark data once inaccessible on paper by leveraging new deep learning handwriting recognizers. Find out more here.
Handwriting recognition continues to offer interesting challenges to businesses and the scientific community. Recently, Sergey Polovinkin, a Computer Vision Engineer in the Ukraine at IDR, gave a tech talk to data scientists there about handwriting recognition. He shared some of the details with us.
With ICR, moving beyond requiring boxes and combs with advanced handprint recognition systems.
OCR and ICR Recognition 101 is a primer on fundamental concepts critical to understanding the wide range of technology options available to businesses today.
Dark data is simultaneously everywhere and challenging to access. For the past several years, Parascript has been doing research with AIIM and ARMA on dark data such as hard-to-process documents with handwriting. According to IDC, most of “big data” is actually dark data, which is commonly defined as “the information organizations collect, process and store during […]
In today’s vast digital world, organizations are scrambling to better control information to meet legal, regulatory, and business requirements. Adding to the challenge is an increasing number of information sources, including online, email, and print. From each of these comes growing volumes of records, receipts, forms, email, and desktop documents and more, further amplifying the amount of information that is out […]
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 […]
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 […]
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 […]
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 […]
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 […]