On January 28th, our team participated in the Open Data Science Conference (ODSC) MeetUp. Andy Bosyi, Co-founder of Mindcraft, gave an insightful presentation focusing on the challenges and limitations of standard optical character recognition (OCR) technology.
The presentation titled “Where Standard OCR is Helpless,” delved into the specific scenarios where traditional OCR algorithms struggle to accurately extract text from images. Various real-world examples were provided, demonstrating the challenges faced when:
- Handwritten documents: The variability and complexity of human handwriting often confound standard OCR systems.
- Low-quality images: Blurred, distorted, or poorly lit images present significant obstacles to accurate text recognition.
- Complex layouts: Documents with intricate layouts, such as forms, tables, and diagrams, can confuse standard OCR algorithms.
- Non-standard fonts and languages: OCR systems trained on limited font sets and languages often fail to recognize text in unfamiliar styles or scripts.
The presentation sparked a lively discussion among attendees, who shared their own experiences with optical character recognition challenges and explored possible solutions. Andy emphasized the importance of using advanced techniques such as Machine Learning and Deep Learning to overcome the limitations of standard OCR.
The ODSC MeetUp provided a valuable platform for Data Science professionals and served as a reminder of the ongoing need for innovation.
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