Guidelines for External Disturbance Factors in the Use of OCR in Real-World Environments
This provides practical guidelines for users to mitigate OCR performance issues in various real-world settings, but it is incremental as it organizes existing knowledge rather than introducing new methods.
The paper addresses the problem of OCR performance degradation due to external disturbances in real-world environments, resulting in reduced recognition accuracy and challenging quality control, by compiling external disturbance factors and image degradation phenomena into a table and guidelines for proper use.
The performance of OCR has improved with the evolution of AI technology. As OCR continues to broaden its range of applications, the increased likelihood of interference introduced by various usage environments can prevent it from achieving its inherent performance. This results in reduced recognition accuracy under certain conditions, and makes the quality control of recognition devices more challenging. Therefore, to ensure that users can properly utilize OCR, we compiled the real-world external disturbance factors that cause performance degradation, along with the resulting image degradation phenomena, into an external disturbance factor table and, by also indicating how to make use of it, organized them into guidelines.