ACL Digital Empowered a US-based Federal Contractor for Efficient Document Management
Overview
A leading US-based federal contractor specializing in document management faced a significant challenge in digitizing low-quality optical character recognition (OCR) images of paper bonds. These bonds, often difficult for human eyes to read, prevented the digitalization process, which was crucial for efficient document management and storage.
Download Case Study
Challenges
The OCR images of the paper bonds were of poor quality, making it challenging to extract readable data
The images were so degraded that even manual reading was a difficult and error-prone task
The digitalization process was stalled due to the inability to accurately read the alphabet and digits from the low-quality images
Solution
By leveraging ACL Digital’s expertise in deep learning and OCR, the contractor successfully overcame the challenges posed by low-quality images and achieved a significant milestone in their document digitization initiative.
- Existing Model Identification: First, the team identified the current OCR model’s text and digit recognition limitations.
- Deep Learning Model Development: A new deep learning model was created to localize and detect text within the images, even in their degraded state.
- Model Retraining: ACL Digital retrained the model using advanced deep learning techniques tailored to address the issues with low-quality paper bond images.
- Model Fine-Tuning: Finally, the model was fine-tuned to improve its accuracy and robustness in recognizing the text and digits from the challenging thermal print images.
Outcomes
94% Accuracy
The solution achieved a remarkable 94% accuracy in reading the alphabet and digits from low-quality thermal print images
Significant Improvement
This marked a substantial improvement over traditional OCR methods, which struggled with the degraded quality of the images
Unlocking Digitalization
With the enhanced OCR capabilities, the digitalization of paper bonds was no longer blocked, enabling streamlined document management and processing
