欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对手写字母识别的特点，结合粗糙集相关理论，提出了一种新的手写字母识别算法。通过对采集的样本进行正态分布假设验证，保证样本的可靠性；利用粗糙集上近似、下近似以及正域概念，对手写样本决策系统进行特征选择以简化决策系统，并进一步提炼手写分类规则。实验结果表明，新算法具有较高的识别准确率，是有效可行的。
英文摘要：
According to the characteristics of handwritten letter recognition, a new handwritten letter recognition algo-rithm is proposed based on the rough set theory. The hypothesis of normal distribution has been tested to ensure the reli-ability of the collected samples. By using upper approximation, lower approximation, as well as positive region of rough set, feature selection is made in order to simplify the decision-making system. Classification rules are then extracted from the simplified decision-making system. Experimental results show that the new algorithm has higher recognition accuracy, and is feasible and effective.
同期刊论文项目
同项目期刊论文
期刊信息
位置：