Abstract:
This work presents a pattern recognition system that is able to detect ambiguous patterns and explain its answers. The system consists of a set of parallel Support Vector Machine (SVM) classifiers, each one dedicated to a representative feature extracted from the input, followed by an analysing module based on a bayesian strategy in charge of defining the system answer. We apply the system to the recognition of handwritten numerals. Experiments were carried out on the MNIST database, which is generally accepted as one of the standards in most of the literature in the field. © 2009 Springer Berlin Heidelberg.
Registro:
Documento: |
Artículo
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Título: | Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition |
Autor: | Seijas, L.; Segura, E. |
Ciudad: | Munster |
Filiación: | Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón I, Buenos Aires, Argentina
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Palabras clave: | Ambiguous pattern; Answer explanation; Bayesian statistics; Pattern recognition; Support vector machine; Ambiguous pattern; Answer explanation; Bayesian; Bayesian statistics; Handwritten numeral; Handwritten numeral recognition; Module-based; Bayesian networks; Image analysis; Image retrieval; Support vector machines; Pattern recognition systems |
Año: | 2009
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Volumen: | 5702 LNCS
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Página de inicio: | 840
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Página de fin: | 847
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DOI: |
http://dx.doi.org/10.1007/978-3-642-03767-2_102 |
Título revista: | 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
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Título revista abreviado: | Lect. Notes Comput. Sci.
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ISSN: | 03029743
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v5702LNCS_n_p840_Seijas |
Referencias:
- Lauer, F., Suen, C., Bloch, G., A trainable feature extractor for handwritten digit recognition (2007) Pattern Recognition, 40, pp. 1816-1824
- Oliveira, L., Sabourin, R., Support vector machines for handwritten numerical string recognition (2004) 9th IEEE International Workshop on Frontiers in Handwritten Recognition, pp. 39-44. , IEEE Computer Society, Washington
- Seijas, L., Segura, E., Detection of ambiguous patterns in a SOM based recognition system: Application to handwritten numeral classification (2007) 6th International Workshop on Self-Organizing Maps. Bielefeld University, , Germany
- Pratt, W., (1978) Digital Image Processing, , Wiley, New York
- Gorgevik, D., Cakmakov, D., An efficient three-stage classifier for handwritten digit recognition (2004) 17th Int. Conf. on Pattern Recognition, 4, pp. 507-510
- Liu, C., Nakashima, K., Sako, H., Fujisawa, H., Handwritten digit recognition: Benchmarking of state-of-the-art techniques (2003) Pattern Recognition, 36, pp. 2271-2285
- Skodras, A., Christopoulos, C., Ebrahimi, T., JPEG 2000: The upcoming still image compression standard (2001) Pattern Recognition Letters, 22, pp. 1337-1345
- Vapnik, V., (1995) The Nature of Statistical Learning Theory, , Springer, New York
- Collobert, R., Bengio, S.: SVMTorch: Support vector machines for large-scale regression problems. Journal of Machine Learning Research 1, 143-160 (2001) 10. Daubechies, I.: Ten lectures on wavelets. Soc. Indus. Appl. Math. (1992); LeCun, Y., Jackel, L., Comparison of learning algotirhms for handwritten digit recognition (1995) Int. Conf. on Artificial Neural Networks, pp. 53-60. , Paris, pp
- Wen, Y., Shi, P., A novel classifier for handwritten numeral recognition (2008) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, pp. 1321-1324. , IEEE Signal Processing Society, Las VegasA4 - University of Munster; International Association for Pattern Recognition; Olympus Soft Imaging Solutions GmbH; Philips
Citas:
---------- APA ----------
Seijas, L. & Segura, E.
(2009)
. Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition. 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, 5702 LNCS, 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102---------- CHICAGO ----------
Seijas, L., Segura, E.
"Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition"
. 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 5702 LNCS
(2009) : 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102---------- MLA ----------
Seijas, L., Segura, E.
"Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition"
. 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009, vol. 5702 LNCS, 2009, pp. 840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102---------- VANCOUVER ----------
Seijas, L., Segura, E. Detection of ambiguous patterns using SVMs: Application to handwritten numeral recognition. Lect. Notes Comput. Sci. 2009;5702 LNCS:840-847.
http://dx.doi.org/10.1007/978-3-642-03767-2_102