Handwritten digits recognition using HMM and PSO based on storks

Liao Yan; Zhenhong Jia; Jie Yang; Shaoning Pang

doi:10.1117/12.869532

21 July 2010 Handwritten digits recognition using HMM and PSO based on storks

Liao Yan, Zhenhong Jia, Jie Yang, Shaoning Pang

Proceedings Volume 7749, 2010 International Conference on Display and Photonics; 774914 (2010) https://doi.org/10.1117/12.869532
Event: 2010 International Conference on Display and Photonics, 2010, Nanjing, China

Abstract

A new method for handwritten digits recognition based on hidden markov model (HMM) and particle swarm optimization (PSO) is proposed. This method defined 24 strokes with the sense of directional, to make up for the shortage that is sensitive in choice of stating point in traditional methods, but also reduce the ambiguity caused by shakes. Make use of excellent global convergence of PSO; improving the probability of finding the optimum and avoiding local infinitesimal obviously. Experimental results demonstrate that compared with the traditional methods, the proposed method can make most of the recognition rate of handwritten digits improved.

Citation Download Citation

Liao Yan, Zhenhong Jia, Jie Yang, and Shaoning Pang "Handwritten digits recognition using HMM and PSO based on storks", Proc. SPIE 7749, 2010 International Conference on Display and Photonics, 774914 (21 July 2010); https://doi.org/10.1117/12.869532

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