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Abstract:

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. © 2010 Springer-Verlag.

Registro:

Documento: Artículo
Título:Multiple clues for license plate detection and recognition
Autor:Negri, P.; Tepper, M.; Acevedo, D.; Jacobo, J.; Mejail, M.
Ciudad:Sao Paulo
Filiación:PLADEMA, Universidad del Centro de la Provincia de Buenos Aires, Tandil, Argentina
Departamento de Computación, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, Argentina
Palabras clave:License plate detection; Pixel values; Segmentation algorithms; Shape contexts; Still images; SVM classifiers; License plate detection; Optical character recognition (OCR); Pixel values; Segmentation algorithms; Shape contexts; Still images; SVM classifiers; Automobiles; Classifiers; Computer vision; Feature extraction; Character recognition; Image segmentation; License plates (automobile); Optical character recognition; Optical character recognition; Pattern recognition
Año:2010
Volumen:6419 LNCS
Página de inicio:269
Página de fin:276
DOI: http://dx.doi.org/10.1007/978-3-642-16687-7_38
Título revista:15th Iberoamerican Congress on Pattern Recognition, CIARP 2010
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_03029743_v6419LNCS_n_p269_Negri.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v6419LNCS_n_p269_Negri

Referencias:

  • Anagnostopoulos, C., License plate recognition from still images and video sequences: A survey (2008) Inteligent Transportation Systems, 9 (3), pp. 377-391
  • Belongie, S., Malik, J., Puzicha, J., Shape matching and object recognition using shape contexts (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (4), pp. 509-522. , DOI 10.1109/34.993558
  • Desolneux, A., Moisan, L., Morel, J., (2008) From Gestalt Theory to Image Analysis: A Probabilistic Approach, , Springer, Heidelberg
  • Donoser, M., Arth, C., Bischof, H., Detecting, tracking and recognizing license plates (2007) LNCS, 4844, pp. 447-456. , Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part II. Springer, Heidelberg
  • Wong, E.K., Chen, M., A new robust algorithm for video text extraction (2003) Pattern Recognition, 36, pp. 1397-1406
  • Hongliang, B., Changping, L., A hybrid license plate extraction method based on edge statistics and morphology (2004) ICPR, pp. 831-834
  • Hsieh, C.T., Juan, Y.S., Hung, K.M., Multiple license plate detection for complex background (2005) AINA, pp. 389-392
  • Huaifeng, Z., Learning-based license plate detection using global and local features (2006) ICPR, pp. 1102-1105
  • Kim, K.I., Jung, K., Kim, J., Color Texture-Based Object Detection: An Application to License Plate Localization (2002) LNCS, 2388, pp. 321-335. , Lee, S.-W., Verri, A. (eds.) SVM 2002. Springer, Heidelberg
  • Mello, C.A.B., Costa, D.C., A Complete System for Vehicle License Plate Recognition (2009) WSSIP, pp. 1-4
  • Platt, J.C., (1998) Sequential Minimal Optimization: A Fast Algorithm for Training Support Vecthor Machines, , Tech. Rep. MSR-TR-98-14, Microsoft Research
  • Rahman, C.A., Badawy, W., Radmanesh, A., A real time vehicle's license plate recognition system (2003) AVSS, pp. 163-166
  • Tepper, M., Acevedo, D., Goussies, N., Jacobo, J., Mejail, M., A decision step for shape context matching (2009) ICIP, pp. 409-412

Citas:

---------- APA ----------
Negri, P., Tepper, M., Acevedo, D., Jacobo, J. & Mejail, M. (2010) . Multiple clues for license plate detection and recognition. 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, 6419 LNCS, 269-276.
http://dx.doi.org/10.1007/978-3-642-16687-7_38
---------- CHICAGO ----------
Negri, P., Tepper, M., Acevedo, D., Jacobo, J., Mejail, M. "Multiple clues for license plate detection and recognition" . 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 6419 LNCS (2010) : 269-276.
http://dx.doi.org/10.1007/978-3-642-16687-7_38
---------- MLA ----------
Negri, P., Tepper, M., Acevedo, D., Jacobo, J., Mejail, M. "Multiple clues for license plate detection and recognition" . 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, vol. 6419 LNCS, 2010, pp. 269-276.
http://dx.doi.org/10.1007/978-3-642-16687-7_38
---------- VANCOUVER ----------
Negri, P., Tepper, M., Acevedo, D., Jacobo, J., Mejail, M. Multiple clues for license plate detection and recognition. Lect. Notes Comput. Sci. 2010;6419 LNCS:269-276.
http://dx.doi.org/10.1007/978-3-642-16687-7_38