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Detection of OCR Misclassifications in ALPR via Rapid Prototyping
Author(s)
Oo, Saung Hnin Pwint
Yoshikawa, Yuki
Kurimoto, Ikusaburo
Date Issued
January 1, 2025
Type
Conference Paper
Abstract
This paper originates from the limitations of traditional Optical Character Recognition (OCR) systems, particularly in recognizing multilingual texts (English and Thai characters) within Automatic License Plate Recognition (ALPR). A common challenge in current OCR models is character confusion, such as misreading between “0” and “O”, and “8” and “B,” which can significantly impact character recognition accuracy. Since OCR performance directly affects the overall effectiveness of ALPR systems, such misclassifications lead to incorrect vehicle identification. Therefore, this paper introduces a rapid prototyping approach for ALPR, focusing on multilingual license plates, especially Thai license plates that include both Latin (English) and non-Latin (Thai) characters. It aims to emphasize the identification and analysis of OCR misclassifications in how characters are recognized by OCR.
Citation
Proceedings of the 2025 SICE Festival with Annual Conference SICE Fes 2025, 1082-1087, 2025