To transform printed text into machine-readable digital information is known as optical character recognition. But converting handwritten characters – also known as handwritten text recognition (HTR) – is way more complex.
The idea of converting written or printed text into digital text is generally called OCR for optical character recognition. Detecting handwritten characters is a rather difficult task. To date, modern software and developed algorithms cannot achieve 100% accuracy in recognizing handwritten characters (not even a real person can always recognize what was written), but we’ve come pretty close to. In practice, an OCR application works best when dealing with restricted inputs and/or limited domains. For example, it’s possible to recognize the English names for numbers and the names of major cities, especially if you can get people to write each letter in its own little box. However, that same software wouldn’t work for similar texts in other languages.
Many of today’s handwritten text detection systems are built following traditional approaches to image processing and work great with printed text, but if used for handwritten text recognition in images it can get unexpected results with poor recognition quality. To achieve improved precision and eliminate limitations optical character recognition generally presents, we applied custom algorithms and built our own handwritten text detection model.
Abto Software’s handwritten text detection algorithm can be successfully implemented to capture and process paper-based documents across industries, including surveys, standard forms, and invoices.
Our custom cursive detector can tackle the most common challenges of recognizing handwritten characters, including separating the background, merged symbols, and nonlinear written text.
The custom cursive identifier can recognize different languages, from English to Chinese.
Our handwriting detector model can process the frames from your smartphone camera in real-time.
The handwriting reader model can process blurry and low-resolution images.
Give meaning to images, digitize documents, analyze video, and recognize objects with the highest accuracy
Abto Software empowers leaders on their digitization journey to facilitate:
Data management typically involves data entry, sorting, labeling, version control, and other routine processes. By applying computer vision, business leaders can enjoy centralized storage, flexibility, scalability, and overall more efficient data management.
Traditionally manual document management is an intensive process, presenting challenges across operations. By leveraging computer vision, strategic leaders might digitize insurance claims, credit and loan applications, and other domain-specific paperwork to deliver high-quality services.
In particular, the modern-day healthcare industry is where handwriting recognition might have a great impact. More specifically, when handling intake and consent forms, medical records, prescription forms, and claims, healthcare professionals might leverage handwriting detection to eliminate human error.
Abto Software is a Microsoft Gold Certified Partner that delivers custom products to leaders across industries, Fortune Global 200 Corporations among them.
Artificial intelligence, computer vision, natural language processing, artificial neural networks, and beyond – our expertise has been repeatedly proven and is continuously expanding.
Abto Software is catering to startups, mature enterprises, and authorities by providing:
In the IT industry since 2007, our teams have successfully delivered over 50 enterprise-level solutions to businesses across different large segments – healthcare, retail, finance, construction, and others.
A handwriting identifier solution to recognize patient forms, medical records, consent forms, physician notes, medication management, laboratory reports, and surveys.
A handwriting detection solution to process price tags, product labeling, order forms, employee timecards, supplier invoices and receipts, interaction notes, and other distribution-related documentation.
Handwritten slips and checks, card applications, loan applications and forms, account statements and reports – all documentation in the finance & banking segment can be successfully digitized.
Daily logs, inspection reports, safety documentation, requisition forms, building permits and approvals – everyday documentation can be easily captured and processed in minutes.
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