INVESTIGADORES
ACEVEDO Daniel German
capítulos de libros
Título:
Multiple Clues for License Plate Detection and Recognition
Autor/es:
PABLO NEGRI; MARIANO TEPPER; DANIEL ACEVEDO; JULIO JACOBO; MARTA MEJAIL
Libro:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (15th Iberoamerican Congress on Pattern Recognition)
Editorial:
Springer
Referencias:
Lugar: Berlin / Heidelberg; Año: 2010; p. 269 - 276
Resumen:
This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.
