Weakly Supervised Character Detection for License Plate Recognition

  • Luis F. A. Zeni UFRGS
  • Claudio R. Jung UFRGS


Automatic Licence Plate Recognition (ALPR) is an essential task in the context of intelligent transportation systems. In a typical ALPR pipeline, the last stage receives as input a cropped license plate region and outputs the string with the plate characters. This paper presents a Weakly Supervised Character Detection (WSCD) approach that requires only string-level annotations (as in generic text recognition methods) but is able to detect characters individually (as in detection-based methods, which require character-level annotations). The proposed method is evaluated in five distinct datasets and present very competitive results against other state-of-the-art methods.
Palavras-chave: weakly supervised character detection, character detection, licence plate recoginition, neural networks, weak supervison
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ZENI , Luis F. A.; JUNG, Claudio R.. Weakly Supervised Character Detection for License Plate Recognition. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 33. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 49-56.