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1.
艺术字体渲染是媒体排版的重要技术之一.如何提供一种高效的艺术字体渲染方法来实现生成艺术字体的特效多样化与清晰化是亟待解决的问题.本文借助条件生成式对抗网络(Conditional Generative Adversarial Networks,CGAN),提出一个包括风格化处理和清晰化处理的二阶段式艺术字体渲染方法,对字体实现高效的特定效果渲染.首先,风格化处理是通过构建风格化网络模型对多样化的字体进行各种不同的2D或3D特效渲染;然后,构建清晰化网络模型对生成的艺术字体图进行清晰化处理,这克服了单一GAN网络生成图模糊的缺陷.实验结果表明,二阶段式艺术字体渲染方法所生成的特效字体的纹理细节较为丰富,不受限于文字骨架,而且字体清晰度也得到较大提升;同时,该方法对字体的特效渲染批量化处理效率也明显提高,具有较强实用价值.  相似文献   
2.
为解决因手写书法作品种类繁多而识别困难的问题,降低人们观赏书法的门槛,本文提出了基于深度学习的手写书法字体识别算法.识别过程中首先使用投影法等图像处理方法对书法作品图像中的汉字进行定位和分割,然后分别利用GoogLeNet Inception-v3模型和ResNet-50残差网络进行书体风格识别和字形识别.实验结果表明,本文算法能实现对整幅书法作品中楷书和篆书的书体风格以及字形的识别,对楷书和篆书单字的识别率分别为91.57%和81.70%,达到了实用的需求.  相似文献   
3.
书法艺术是中国传统艺术的重要组成部分,近年来,随着电脑字库的不断发展,很多传统书体形式都被开发成了字体,广泛应用于各类设计中,目前,业内认为书法字体有着印刷字体无法比拟优势的观点也不在少数。通过对视觉传达设计实例的分析发现,被广泛运用于设计中的书法字体存在很多问题。采用案例对比分析,分别从书法的笔法、结体和章法的角度,指出了书法字体与书法艺术间的差异。研究表明,将书法家原字开发成字库有悖于书法艺术审美的基本规律,设计师在使用书法字进行视觉传达设计时也可以使用书法原字,或使用古代书法家的集字,遵循书法艺术的基本规律及审美要求。  相似文献   
4.
为了达到字型类横截面立体织物同区不同层长短不一致的效果,采用穿综时循环次数不同和穿筘时筘入数不同的方法,得到不同长度但密度相同的织物。这种巧妙设计方法适用于有一部分结构是两端不封闭头端的字型类横截面立体织物的设计。  相似文献   
5.
介绍了点阵字型的设计原理、数据表示方法和字库格式。研究了汉字点阵设计中的简省笔画处理方法,以及点阵字型字库格式常用的BMP、BDP两种格式表示方法。  相似文献   
6.
《Ergonomics》2012,55(5):453-465
This study evaluated the effects of age (20s and 60s), viewing distance (50 cm, 200 cm), display type (paper, monitor), font type (Gothic, Ming), colour contrast (black letters on white background, white letters on black background) and number of syllables (one, two) on the legibility of Korean characters by using the four legibility measures (minimum letter size for 100% correctness, maximum letter size for 0% correctness, minimum letter size for the least discomfort and maximum letter size for the most discomfort). Ten subjects in each age group read the four letters presented on a slide (letter size varied from 80 pt to 2 pt). Subjects also subjectively rated the reading discomfort of the letters on a 4-point scale (1 = no discomfort, 4 = most discomfort). According to the ANOVA procedure, age, viewing distance and font type significantly affected the four dependent variables (p < 0.05), while the main effect of colour contrast was not statistically significant for any measures. Two-syllable letters had smaller letters than one-syllable letters in the two correctness measures. The younger group could see letter sizes two times smaller than the old group could and the viewing distance of 50 cm showed letters about three times smaller than those at a 200 cm viewing distance. The Gothic fonts were smaller than the Ming fonts. Monitors were smaller than paper for correctness and maximum letter size for the most discomfort. From a comparison of the results for correctness and discomfort, people generally preferred larger letter sizes to those that they could read. The findings of this study may provide basic information for setting a global standard of letter size or font type to improve the legibility of characters written in Korean.

Statement of Relevance: Results obtained in this study will provide basic information and guidelines for setting standards of letter size and font type to improve the legibility of characters written in Korean. Also, the results might offer useful information for people who are working on design of visual displays.  相似文献   
7.
汉字的字体设计在艺术设计上地位极其重要。巧妙运用汉字的字体设计的创意表现,是现代艺术设计展现品牌形象的一种方法。文字的图形化,使汉字的字体设计更有艺术性,在各种艺术设计中均可巧妙运用,文章展示了汉字的字体设计在艺术设计中的运用效果及未来发展趋势。  相似文献   
8.
《Ergonomics》2012,55(11):1316-1330

This experiment investigated the influence of four display factors, viz. typeface (Ming Liu and Jheng Hei), font size (10-point and 14-point), text direction (horizontal and vertical) and copy placement (left-right and top-bottom) on Chinese proofreading performance and subjective preferences. Proofreading performance was measured in terms of time and accuracy, and preferences were examined in terms of comfort, ease and fatigue. It was found that the horizontal text direction resulted in faster proofreading than the vertical one, but the other three factors were non significant. The faster proofreading using the horizontal text direction was valid for both the left-right and the top-bottom arrangements. There was an interaction between typeface and font size such that, for the smaller character size (10-point), the Ming Liu style produced a faster performance than the Jheng Hei style. However, for the larger character size (14-point), the Jheng Hei style produced a faster performance than the Ming Liu style. Regarding proofreading accuracy, the number of non-detected missing words and related false alarm in left-right copy placement setting was significantly larger than that in top-down setting. Greater accuracy was obtained in proofreading at the cost of a speed-accuracy trade-off – the higher the accuracy in the proofreading task, the longer the proofreading time. Font size and text direction had significant effects on proofreading preferences, but typeface and copy placement did not.

Practitioner Summary: This study examined four display factors on Chinese proofreading performance and subjective preferences. The findings of this experiment provide information and recommendations that should prove useful for the design of proofreading interfaces to improve proofreading time and accuracy, and to satisfy proofreaders' preference.  相似文献   
9.
字号和词频对汉语阅读眼动模式的影响   总被引:1,自引:0,他引:1  
研究旨在通过操作文本字号和目标词词频,考察视觉刺激模式和词汇加工难度对中文读者眼动模式的影响。研究采用2(字号:16号,32号)×2(目标词词频:高频词,低频词)的被试内实验设计,结果显示:(1)读者阅读较小字号文本的总阅读时间与较大字号文本没有显著差异,但平均眼跳幅度、平均注视时间和跳读词数显著大于较大字号文本,再注视词数显著小于大号字体文本;(2)词频对目标词的凝视时间和总注视时间有显著影响,但不影响首次注视时间、跳读率和再注视概率;字号对首次注视时间、跳读率和再注视概率有显著影响,但不影响对目标词的凝视和总注视时间。说明视觉刺激模式和词汇加工难度均影响被试的眼动模式。  相似文献   
10.
Font recognition is useful for improving optical text recognition systems’ accuracy and time, and to restore the documents’ original formats. This paper addresses a need for Arabic font recognition research by introducing an Arabic font recognition database consisting of 40 fonts, 10 sizes (ranging from 8 to 24 points) and 4 styles (viz. normal, bold, italic, and bold–italic). The database is split into three sets (viz. training, validation, and testing). The database is freely available to researchers.1 Moreover, we introduce a baseline font recognition system for benchmarking purposes, and report identification rates on our KAFD database and the Arabic Printed Text Image (APTI) database with 20 and 10 fonts, respectively. The best recognition rates are achieved using log-Gabor filters.  相似文献   
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