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机构地区:[1]华南理工大学电子与信息学院,广东广州510640
出 处:《计算机仿真》2010年第9期245-248,共4页Computer Simulation
摘 要:针对嵌入式手写识别系统存在识别率低、识别速率慢的缺点。研究了一种汉字联机手写识别的改进算法。首先从理论上介绍并分析了弹性网格识别算法和笔顺识别算法,接着将两种识别算法的优点进行有机组合,采用最小二乘法对输入的笔划进行线性拟合。算法在嵌入式linux下进行仿真设计并得到了实现,通过对仿真结果的分析,证明了结合后的改进算法达到了提高手写识别率和识别速率。所采用的方法对汉字手写体识别的研究有一定的借鉴和指导作用。Aim at the handwriting recognition embedded system with low recognition rate and low recognition speed,an improved on-line handwritten Chinese character recognition system is proposed. First,elastic meshing recognition algorithm and order of strokes recognition algorithm are introduced and analysed,and then the advantages of these two algorithms are combined to make the strokes linearization through Least Squares Method. This algorithm is studied and implemented by means of simulation,by analysing the simulation result,it is proved that the new algorithm reached the goal of improving the recognition rate and recognition speed. The method used in this paper play a reference and guiding role in handwritten Chinese character recognition study.
分 类 号:TP319[自动化与计算机技术—计算机软件与理论]
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