为了提高分割速度，给出了一种改进遗传模拟退火算法。
In order to increase the speed of segmentation, an improved genetic simulated annealing is given.
传统方法大多基于形态结构和统计描述，与人类视觉机理相脱节，无法进一步提高分割精度。
Classical methods are mostly based on structural and statistic descriptions which are inconsistent with the behaviour of human vision system (HVS) and the segmentation accuracy is limited.
该方法对印刷质量较差的粘连字符效果更好，可以作为常用的最短路径法的一个很好的补充算法，以提高分割成功率。
This proposed segmentation method behaves particularly good for poorly printed characters, and it can make a good supplement of the most often used shortest path method.
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