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Handwriting Recognition, also known as Handwritten Text Recognition, is the ability of computers to receive and interpret handwritten data from sources such as paper documents, images, touch screens and other devices. With high accuracy, time and cost savings, this technology is promoting operational efficiency and information security, paving the way for sustainable business growth. Join FPT.AI to explore the benefits when businesses apply FPT AI Read software to recognize handwriting in the following article.
What is Handwriting Recognition?
Handwriting Recognition (HWR), also known as Handwritten Text Recognition, is a technology that allows computers to analyze and understand handwritten data, printed text or typed text from images from sources such as paper documents, photos or touch device screens. There are two main methods of handwriting recognition:
- Offline Handwriting Recognition: Handwritten text on paper is digitized by scanning (optically) or taking a photo. The system analyzes the image and decodes the characters or words in it. The data obtained in this way is considered a static representation of the handwriting.
- Online Handwriting Recognition: Tracks and records the movements of the pen as it writes on devices such as touch screens or electronic boards. This method is often more accurate because it includes additional data about strokes, writing order, and writing speed.
Handwriting recognition using optical character recognition (OCR) technology
Optical Character Recognition is a technology that allows converting text from images (photos, scans) into digital data that computers can process. OCR works by analyzing, recognizing the shape and structure of characters, thereby converting them into digital text. This is a core technology in the digitization process, especially in processing handwritten documents, typed letters or printed text.
Here are the specific benefits of OCR technology for businesses in recognizing handwriting:
- Quickly search for information and easily edit when needed, saving time compared to looking up information on paper documents
- Scan and enter paper data in just 2-3 seconds, 40-50 times faster than manual entry but minimizing errors, optimizing workflow, significantly reducing the number of personnel needed, thereby saving operating costs.
- Documents after being processed by OCR will be stored on a database system with multiple layers of security. The system tracks and records all changes, helping to protect important data better than traditional storage.
- Documents are digitized and stored on the system, freeing up space for other activities, while eliminating the need to keep bulky filing cabinets.
Currently, OCR has been widely applied in many industries such as administration, healthcare, finance and education. According to a report from Research and Markets, the global OCR market size is forecast to reach USD 26.31 billion by 2030, with a CAGR of 15.4% from 2022.
FPT AI Read – A new step forward in recognizing handwriting from photos
After a long period of in-depth research on the characteristics of Vietnamese with many accents and many connecting strokes between letters, FPT.AI launched a solution to recognize and extract handwriting with the leading accuracy in the Vietnamese market – FPT AI Read.
This solution can easily handle about 80% of the process of extracting and entering printed text, with an accuracy rate of over 95%. In addition, instead of using a letter shape recognition model, FPT AI Read integrates a Machine Learning, Deep Learning and Computer Vision training model to recognize human numbers and handwriting, with an accuracy rate of 80 – 85%.
In particular, FPT AI Read is equipped with a model that checks the correctness of information to point out abnormalities in the information fields that need to be extracted such as missing or extra characters, incorrect dates, etc. The model is also capable of cross-checking information on documents in the same set of documents or comparing customer data on the enterprise’s CRM system. This image-to-text conversion software includes a warning labeling feature for non-standard information fields so that users can easily intervene to check and ensure maximum accuracy.
Currently, FPT AI Read is widely deployed in the Insurance, Finance and Banking industries to automate the processing of handwritten documents such as medical records, payment authorizations or documents that customers fill out themselves. The solution solves major problems in manual data entry such as errors, time loss and risk of revealing sensitive customer information. In particular, in the Banking industry, FPT AI Read supports optimizing the data entry process and ensuring absolute information security.
FPT AI Read automates the process of processing customers’ handwritten documents for many businesses
FPT AI Read not only helps businesses streamline the data digitization process but also increases operational efficiency, improves service quality and ensures information security. This is a powerful tool on the digital transformation journey, bringing long-term benefits and promoting sustainable growth for businesses.
Other FAQs about handwriting recognition
What is handwriting recognition and in what fields is it applied?
Handwriting Recognition (HWR) is a technology that allows converting handwriting into digital data. The applications of this technology are very diverse, from automating document processing in banking, insurance, healthcare to education, helping to optimize data entry and information management processes.
In which cases is AI handwriting recognition software not suitable?
AI handwriting recognition software is not effective in processing poor quality documents such as blurry photos, damaged paper or containing overly artistic handwriting styles such as calligraphy. Cases that require creative intervention or aesthetic perception still need humans to perform.
How is FPT AI Read applied in businesses?
FPT AI Read solution supports businesses in automating the processing of handwritten documents such as medical records, payment orders, customer records in the fields of insurance, banking and healthcare. The information checking feature and synchronization with the CRM system help increase accuracy, information security and reduce document processing time.FPT AI Read solution supports businesses in automating the processing of handwritten documents
Why is Vietnamese handwriting recognition a challenge and how has FPT AI Read solved it?
Vietnamese has many complex accents and strokes, making handwriting recognition more difficult than other languages. FPT AI Read has solved this challenge by using machine learning models that are deeply trained, optimized for Vietnamese, ensuring high accuracy even with diverse handwriting styles.
In short, OCR technology has proven to be essential in handwriting recognition. With the combination of high accuracy, testing capabilities and information security, FPT AI Read not only streamlines the digitalization process but also improves operational efficiency and service quality. This is a powerful tool, supporting businesses in comprehensive digital transformation, saving costs and time, while promoting sustainable growth in all fields. Hopefully, FPT.AI’s article has brought you useful information!
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