Navegar

Colección

Datos Estadísticas

Artículo

Romero, D.; Ruedin, A.; Seijas, L. "Wavelet-based feature extraction for handwritten numerals" (2009) 15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings. 5716 LNCS:374-383
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

We present a novel preprocessing technique for handwritten numerals recognition, that relies on the extraction of multiscale features to characterize the classes. These features are obtained by means of different continuous wavelet transforms, which behave as scale-dependent bandpass filters, and give information on local orientation of the strokes. First a shape-preserving, smooth and smaller version of the digit is extracted. Second, a complementary feature vector is constructed, that captures certain properties of the digits, such as orientation, gradients and curvature at different scales. The accuracy with which the selected features describe the original digits is assessed with a neural network classifier of the multilayer perceptron (MLP) type. The proposed method gives satisfactory results, regarding the dimensionality reduction as well as the recognition rates on the testing sets of CENPARMI and MNIST databases; the recognition rate being 92.60 % for the CENPARMI data-base and 98.22 % for the MNIST database. © 2009 Springer Berlin Heidelberg.

Registro:

Documento: Artículo
Título:Wavelet-based feature extraction for handwritten numerals
Autor:Romero, D.; Ruedin, A.; Seijas, L.
Ciudad:Vietri sul Mare
Filiación:Departamento de Computació, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, Buenos Aires C1428EGA, Argentina
Palabras clave:Continuous Wavelet Transform; Dimensionality Reduction; Handwritten Numerals; Pattern Recognition; Complementary features; Continuous Wavelet Transform; Different scale; Dimensionality reduction; Handwritten numeral; Handwritten Numerals; Local orientations; Multi layer perceptron; Multi-scale features; Neural network classifier; Preprocessing techniques; Recognition rates; Shape-preserving; Testing sets; Wavelet-based Feature; Bandpass filters; Character recognition; Feature extraction; Image analysis; Neural networks; Wavelet transforms
Año:2009
Volumen:5716 LNCS
Página de inicio:374
Página de fin:383
DOI: http://dx.doi.org/10.1007/978-3-642-04146-4_41
Título revista:15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5716LNCS_n_p374_Romero

Referencias:

  • Mallat, S., A theory of multiresolution signal decomposition: The wavelet representation (1989) IEEE Trans. Pattern Analysis Machine Intell, PAMI-11 (7)
  • de Ves, E., Ruedin, A., Acevedo, D., Benavent, X., Seijas, L.: A new wavelet-based texture descriptor for image retrieval. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds.) CAIP 2007. LNCS, 4673, pp. 895-902. Springer, Heidelberg (2007); Wunsch, P., Laine, A.F., Wavelet descriptors for multiresolution recognition of handprinted characters (1995) Pattern Recognition, 28 (8), pp. 1237-1249
  • Chen, G., Bui, T., Krzyzak, A., Contour-based handwritten numeral recognition using multiwavelets and neural networks (2003) Pattern Recognition, 36, pp. 1597-1604
  • Bhattacharya, U., Vajda, S., Mallick, A., Chaudhuri, B., Belaid, A., On the choice of training set, architecture and combination rule of multiple MLP classifiers for multiresolution recognition of handwritten characters (2004) 9th IEEE International Workshop on Frontiers in Handwritten Recognition
  • Antoine, J.-P., Murenzi, R., Two-dimensional directional wavelets and the scale-angle representation (1996) Signal Processing, 52, pp. 256-281
  • Antoine, J., Vandergheynst, P., Bouyoucef, K., Murenzi, R., Target detection and recognition using two-dimensional isotropic and anisotropic wavelets (1995) Proc, SPIE, pp. 20-31. , Automatic Object Recognition V, 2485, pp
  • Antoine, J.-P., Murenzi, R., Vandergheynst, P., Directional wavelets revisited: Cauchy wavelets and symmetry detection in patterns (1999) Appl. Comput. Harmon. Anal, 6, pp. 314-345
  • Romero, D., Seijas, L., Ruedin, A., Directional continuous wavelet transform applied to handwritten numerals recognition using neural networks (2007) Journal of Computer Science & Technology, 7 (1), pp. 66-71
  • Kaplan, L.P., Murenzi, R., Pose estimation of sar imagery using the two dimensional continuous wavelet transform (2003) Pattern Recognition Letters, 24, pp. 2269-2280
  • Jelinek, H.F., Cesar Jr., R.M., Leandro, J.J.G., Exploring wavelet transforms for morphological differentiation between functionally different cat retinal ganglion cells (2003) Brain and Mind, 4, pp. 67-90
  • LeCun, Y., Bengio, Y., Haffner, P., Gradient-based learning applied to document recognition (1998) Proceedings of the IEEE, 86, pp. 2278-2324
  • LeCun, Y., Cortes, C., The mnist database of handwritten digits, , http://yann.lecun.com/exdb/mnist/index.html
  • Suen, C., Nadal, C., Legault, R., Mai, T., Lam, L., Computer recognition of unconstrained handwritten numerals (1992) Procs. IEEE, 80 (7), pp. 1162-1180
  • Wen, Y., Shi, P., A novel classifier for handwritten numeral recognition (2008) IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1321-1324

Citas:

---------- APA ----------
Romero, D., Ruedin, A. & Seijas, L. (2009) . Wavelet-based feature extraction for handwritten numerals. 15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings, 5716 LNCS, 374-383.
http://dx.doi.org/10.1007/978-3-642-04146-4_41
---------- CHICAGO ----------
Romero, D., Ruedin, A., Seijas, L. "Wavelet-based feature extraction for handwritten numerals" . 15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings 5716 LNCS (2009) : 374-383.
http://dx.doi.org/10.1007/978-3-642-04146-4_41
---------- MLA ----------
Romero, D., Ruedin, A., Seijas, L. "Wavelet-based feature extraction for handwritten numerals" . 15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings, vol. 5716 LNCS, 2009, pp. 374-383.
http://dx.doi.org/10.1007/978-3-642-04146-4_41
---------- VANCOUVER ----------
Romero, D., Ruedin, A., Seijas, L. Wavelet-based feature extraction for handwritten numerals. Lect. Notes Comput. Sci. 2009;5716 LNCS:374-383.
http://dx.doi.org/10.1007/978-3-642-04146-4_41