摘要
针对传统的汉字字库制作技术需要人工对构字结果进行大量操作,提出利用汉字的属性特征,对构字结果实现质量评价的方法。该方法首先采用图像处理技术提取能够反映汉字标准书写规则的属性,从而将汉字质量的评价准则量化;然后通过改进的三层BP神经网络进行训练,建立汉字品质的评价模型,为字体的调整提供依据,降低字库制作过程中的人工投入。
Traditional making technology of Chinese character database requires a large number of manual operations in the char- acter-formation results. In order to solve this defect, a method of achieving quality evaluation for the character-formation results is proposed by using attributes of Chinese characters. First, this paper extracts the attributes which could reflect the standard writing rules of Chinese characters through image processing technology, to quantify the evaluation criteria of Chinese characters, and then, models the font quality evaluation making use of the improved three-layer BP neural network, which would provide basis for adjustment of the font and reduce the human input in the process of character making.
出处
《计算机与现代化》
2014年第1期96-99,120,共5页
Computer and Modernization
基金
上海市科学技术委员会科研计划项目(11dz1505202)
关键词
属性
质量评价
图像处理
量化
BP神经网络
attributes
quality evaluation
image processing
quantization
BP neural network
