Analyzing forms using artificial intelligence (handwriting recognition)
Recognizing handwritten forms is a major challenge. The forms must be manually transferred to digital systems, which is time-consuming and error-prone. The aim of the project was to improve the recognition rate of handwritten forms through the use of artificial intelligence in order to automate such processes and increase the accuracy of data collection.
Challenge
Recognizing handwritten forms is a major challenge. Forms that are quickly filled out by hand are difficult for traditional OCR (optical character recognition) techniques to classify, especially when they contain free text fields and multiple-choice questions. A typical example of this problem is the collection of patient information in medical facilities. Here, forms are often filled out by hand, containing important information such as symptoms, medical history, and medication intake. These forms must then be manually transferred to digital systems, which is time-consuming and prone to errors. The aim of the project was to improve the rate of recognition of handwritten forms through the use of artificial intelligence in order to automate such processes and increase the accuracy of data entry.
Methods
As part of the project, completed sample forms with multiple-choice questions and free text fields were evaluated using cloud AI tools. Our experts developed software that analyzes these forms and converts them into a machine-readable format. By using modern AI techniques, we were able to significantly increase the recognition rate of handwriting samples. Modern OMR (optical mark recognition) techniques also enabled context-based evaluation of the elements on the forms. In addition, the results were further corrected and optimized through the use of LLMs (large language models).
Solution
Our solution offers your company numerous advantages. By using artificial intelligence, we have been able to significantly increase the recognition rate of handwritten forms, which greatly improves the accuracy and reliability of data capture. The techniques we have developed enable fast and accurate evaluation of the forms, making the entire process more efficient. The software converts the evaluated forms into a machine-readable format, which facilitates the processing and analysis of the data and thus saves valuable time and resources. This leads to a significant reduction in manual effort and an improvement in data quality, which ultimately increases the efficiency and productivity of your company.
- Increased recognition rate: The recognition rate of handwritten forms was significantly increased through the use of AI.
- Efficient evaluation: The techniques developed enabled fast and accurate evaluation of the forms.
- Automation: The software converts the evaluated forms into a machine-readable format, which facilitates the processing and analysis of the data.
At BREDEX, we use state-of-the-art AI technologies to develop customized solutions for our customers. By implementing our AI solutions, companies can not only improve the accuracy and efficiency of their data collection, but also significantly simplify the processing and analysis of the data. Contact us to learn more about our projects and our approach.
This project was conducted as part of the i3systems AI Experts.
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