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
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Official URL: http://dx.doi.org/10.1109/AMS.2008.141
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.
|Item Type:||Book Section|
|Additional Information:||ISBN: 978-076953136-6; 2nd Asia International Conference on Modelling and Simulation, AMS 2008; Kuala Lumpur; 13 May 2008 through 15 May 2008|
|Uncontrolled Keywords:||classification, handwritten digits recognition problem, machine learning, particle swarm optimization, pattern recognition|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System|
|Deposited By:||Liza Porijo|
|Deposited On:||10 Jun 2011 09:36|
|Last Modified:||10 Jun 2011 09:36|
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