期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2008
卷号：2
期号：3
页码：29-35
出版社：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.
