Handwritten digits recognition using particle swarm optimization
As humans, it is easy to recognize numbers, letters, voices, and objects, to name a few. However, making a machine solve these types of problems is a very difficult task. Handwritten digits recognition (HDR) is considered as one of difficult problems in the field of pattern recognition. Hence, evalu...
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| Format: | Book Section |
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Institute of Electrical and Electronics Engineers
2008
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| _version_ | 1796855102345052160 |
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| author | Ba-Karait, N. O. S. Shamsuddin, Siti Mariyam |
| author_facet | Ba-Karait, N. O. S. Shamsuddin, Siti Mariyam |
| author_sort | Ba-Karait, N. O. S. |
| collection | ePrints |
| description | As humans, it is easy to recognize numbers, letters, voices, and objects, to name a few. However, making a machine solve these types of problems is a very difficult task. Handwritten digits recognition (HDR) is considered as one of difficult problems in the field of pattern recognition. Hence, evaluating a performance of other algorithms on HDR problem is of great importance. In this study, Particle Swarm Optimization (PSO) based method is exploited to recognize unconstrained handwritten digits. Each class is encoded as a centroid in multidimensional feature space and PSO is employed to probe the optimal position for each centroid. The algorithm evaluates on 5 folds cross validation of handwritten digits data, and the results reveal that PSO gives promising performance and stable behavior in recognizing these digits. |
| first_indexed | 2024-03-05T18:23:42Z |
| format | Book Section |
| id | utm.eprints-12579 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:23:42Z |
| publishDate | 2008 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | utm.eprints-125792011-06-10T09:36:46Z http://eprints.utm.my/12579/ Handwritten digits recognition using particle swarm optimization Ba-Karait, N. O. S. Shamsuddin, Siti Mariyam QA75 Electronic computers. Computer science As humans, it is easy to recognize numbers, letters, voices, and objects, to name a few. However, making a machine solve these types of problems is a very difficult task. Handwritten digits recognition (HDR) is considered as one of difficult problems in the field of pattern recognition. Hence, evaluating a performance of other algorithms on HDR problem is of great importance. In this study, Particle Swarm Optimization (PSO) based method is exploited to recognize unconstrained handwritten digits. Each class is encoded as a centroid in multidimensional feature space and PSO is employed to probe the optimal position for each centroid. The algorithm evaluates on 5 folds cross validation of handwritten digits data, and the results reveal that PSO gives promising performance and stable behavior in recognizing these digits. Institute of Electrical and Electronics Engineers 2008 Book Section PeerReviewed Ba-Karait, N. O. S. and Shamsuddin, Siti Mariyam (2008) Handwritten digits recognition using particle swarm optimization. In: Proceedings - 2nd Asia International Conference on Modelling and Simulation, AMS 2008. Institute of Electrical and Electronics Engineers, New York, pp. 615-619. ISBN 978-076953136-6 http://dx.doi.org/10.1109/AMS.2008.141 doi:10.1109/AMS.2008.141 |
| spellingShingle | QA75 Electronic computers. Computer science Ba-Karait, N. O. S. Shamsuddin, Siti Mariyam Handwritten digits recognition using particle swarm optimization |
| title | Handwritten digits recognition using particle swarm optimization
|
| title_full | Handwritten digits recognition using particle swarm optimization
|
| title_fullStr | Handwritten digits recognition using particle swarm optimization
|
| title_full_unstemmed | Handwritten digits recognition using particle swarm optimization
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| title_short | Handwritten digits recognition using particle swarm optimization
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| title_sort | handwritten digits recognition using particle swarm optimization |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT bakaraitnos handwrittendigitsrecognitionusingparticleswarmoptimization AT shamsuddinsitimariyam handwrittendigitsrecognitionusingparticleswarmoptimization |