A Simple Segmentation Approach for Unconstrained Cursive Handwritten Words in Conjunction with the Neural Network.

International Journal of Image Processing

Amjad Rehman Khan¹  Zulkifli Mohammad¹ 

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关键词: Image analysis;    Segmentation;    Neural Network;    Preprocessing;    Pattern matching;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

This paper presents a new, simple and fast approach for character segmentation of unconstrained handwritten words. The developed segmentation algorithm over-segments in some cases due to the inherent nature of the cursive words. However the over segmentation is minimum. To increase the efficiency of the algorithm an Artificial Neural Network is trained with significant amount of valid segmentation points for cursive words manually. Trained neural network extracts incorrect segmented points efficiently with high speed. For fair comparison benchmark database IAM is used. The experimental results are encouraging.

【 授权许可】

Unknown