【作者】 赵伟；

【导师】 李丽娟；

【作者基本信息】 湖南大学 ， 计算机应用， 2008， 硕士

【摘要】 汉字识别是模式识别的一个重要分支,也是文字识别领域最为困难的问题,它涉及到模式识别,图象处理,数字信号处理等学科,是一门综合性技术,在中文信息处理,办公自动化,人工智能等领域,都有着重要的使用价值和理论意义。脱机手写体汉字识别因其自身的复杂性,使得系统的实现具有很大的困难,目前还没有十分成熟的产品,是一门待发展的技术,因此它成为了国内外研究的热点。特征提取是汉字识别过程中最重要的环节,快速地提取稳定、可靠并能充分描述汉字模式的特征,是手写体汉字识别的关键。数学形态学是分析几何形状和结构的数学方法,是建立在集合代数基础上,用集合论方法定量描述集合结构的科学。本文提出一种以数学形态学为基础的汉字特征提取新方法。它改进及利用形态学的基本运算,无需对原图像进行预处理等操作,直接对手写印刷体汉字原始图像进行处理,从中提取出稳定有效的笔划方向特征。它具有完备的数学理论基础,无需对原始字符图像进行预处理,细化等操作,大大节约了系统开销,在运算速度方面比其他特征提取算法有更大的优势。利用上述方法提取的各方向笔段,笔段较为清晰,其中的横竖笔段,基本能达到印刷体汉字“横平竖直”的效果,在此基础上,利用所获得的横竖笔段交点,横竖笔段的统计误差作为粗分类的标准,再根据起点位置得到笔段编码序列,与标准印刷体的笔段码序列进行匹配,从而得到识别结果,实验证明该方法的有效性。更多还原

【Abstract】 Chinese Character Recognition is an important branch of pattern recognition, text recognition is also the most difficult issues, it involves pattern recognition, image processing, digital signal processing, and other disciplines, is an integrated technology, the Chinese information processing, office automation, artificial Smart, and other fields, have a useful and important theoretical significance. Offline handwritten Chinese character recognition of the complexity of their own, making the system is very difficult to achieve, not very mature product, is a question to the development of technology, it has become a hot research at home and abroad.Feature extraction is the Chinese character recognition process of the most important link to quickly extract stable and reliable and can fully describe the characteristics of Chinese character patterns, hand-written Chinese character recognition is the key. Is the analysis of mathematical morphology geometric shape and structure of the mathematical method, is built on the collection on the basis of algebra, and set theory describes the collection of quantitative methods of science.This article proposes one kind take mathematics morphology as the foundation Chinese character feature extraction new method. It improves and uses the morphology the fundamental operation, does not need to carry on operations and so on pretreatment to the original image, to writes by hand the block letter Chinese character primitive image to carry on processing directly, withdraws the stable effective stroke direction characteristic. It has the complete mathematical theory foundation, does not need to carry on the pretreatment to the original character image, operations and so on refinement, saved the system expenses greatly, has a bigger superiority in the operating speed aspect compared to other feature extraction algorithm. Using the above method extraction’s various directions pen section, the pen section is clearer, in which pen section in any case, basic can achieve the block letter Chinese character“horizontal even vertical”the effect, based on this, uses the pen section point of intersection which in any case obtains, the pen section’s statistical error does in any case for the thick classified standard, obtains the pen section coded sequence again according to the beginning position, carries on the match with the standard block letter’s pen section code sequence, thus obtains the recognition result, the experiment proves this method the validity.更多还原