纳西象形文Web植入技术

描述纳西象形文的Web植入技术，属于纳西象形文应用项目之一。纳西象形文的Web植入技术主要采用WEFT生成字体数据库，通过CSS2嵌入到纳西象形文Web页面中，从而使网络客户无需下载字体也可正常浏览纳西象形文字网页。     

文字相关的单字符字体识别方法

汉字具有丰富的字体类型,并且不同的字体在汉字结构上有显著的不同,现在的OCR技术侧重字的识别,而对字体识别的关注较少。提出文字相关的单字符字体识别方法,利用文字相关的先验信息及字体结构特征,对字体的相似性度量采用向量空间模型,并针对常用66款简体字进行实验,得到了较好的平均识别率。     

Study on pharyngeal and uvular consonants in foreign accented Arabic for ASR

This paper investigates the unique pharyngeal and uvular consonants of Arabic from the point of view of automatic speech recognition (ASR). Comparisons of the recognition error rates for these phonemes are analyzed in five experiments that involve different combinations of native and non-native Arabic speakers. The most three confusing consonants for every investigated consonant are discussed. All experiments use the Hidden Markov Model Toolkit (HTK) and the Language Data Consortium (LDC) WestPoint Modern Standard Arabic (MSA) database. Results confirm that these Arabic distinct consonants are a major source of difficulty for Arabic ASR. While the recognition rate for certain of these unique consonants such as // can drop below 35% when uttered by non-native speakers, there is advantage to include non-native speakers in ASR. Besides, regional differences in pronunciation of MSA by native Arabic speakers require the attention of Arabic ASR research.     

数字化藏文古籍中多样性字体的实现方法研究

After the computer became a tool for data sharing and information exchange, the unified computer font has made the text lose the diversity and discreteness of handwriting. Text is the crucial factor for the spread of culture and civilization. Many electronic books have lost the characteristic fonts with cultural background and historical significance in the original ancient books after the digitalization. One example is the sculpted typeface with diversity and discreteness that can be called a Tibetan culture. In order to solve this problem, a research method of digitizing engraving fonts in ancient Tibetan books is proposed. Firstly, the projection method and the connected domain method are used to segment the ancient book image. Secondly, the GIST feature algorithm is used to realize the image text recognition. Thirdly, the SIFT feature algorithm is used to implement the image font style classification, and diffe rent styles of carved fonts in the ancient books are obtained. A font diversity expression algorithm is proposed to realize the diversity and discreteness of carved fonts in ancient books. The purpose of the research is to achieve the inheritance and protection of engraving fonts, which has important cultural research and inheritance significance.     

VxWorks5.5 平台下矢量字体显示的实现

VxWorks5.5采用点阵字库实现字体显示,这种字库设计简洁,应用广泛,但一个字库只能对应一种字体的一种大小,在不确定使用何种字体的情况下,这种传统的字体显示方式便不能够满足需求。通过使用TrueType字库和FreeType字体引擎相结合的方式,能实现多种字体、任意大小的显示功能。主要介绍了TrueType、FreeType技术的基本原理,以及在VxWorks5.5下如何将WindML、FreeType和TrueType三者相结合实现矢量字体显示的方法。     

KHATT: An open Arabic offline handwritten text database

A comprehensive Arabic handwritten text database is an essential resource for Arabic handwritten text recognition research. This is especially true due to the lack of such database for Arabic handwritten text. In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) consisting of 1000 handwritten forms written by 1000 distinct writers from different countries. The forms were scanned at 200, 300, and 600 dpi resolutions. The database contains 2000 randomly selected paragraphs from 46 sources, 2000 minimal text paragraph covering all the shapes of Arabic characters, and optionally written paragraphs on open subjects. The 2000 random text paragraphs consist of 9327 lines. The database forms were randomly divided into 70%, 15%, and 15% sets for training, testing, and verification, respectively. This enables researchers to use the database and compare their results. A formal verification procedure is implemented to align the handwritten text with its ground truth at the form, paragraph and line levels. The verified ground truth database contains meta-data describing the written text at the page, paragraph, and line levels in text and XML formats. Tools to extract paragraphs from pages and segment paragraphs into lines are developed. In addition we are presenting our experimental results on the database using two classifiers, viz. Hidden Markov Models (HMM) and our novel syntactic classifier.     

基于汉字字体结构认知计算的多意象预测模型

为了揭示汉字字体与受众的情感意象之间的内在关系，从认知计算的角度出发， 探索构建一种“设计特征-结构指标-意象”的灰箱关联模型，以其预测汉字字体的多个意象。首 先依据认知计算的原理将字体结构规则抽象为知识，运用产生式规则将字体结构知识进行定量 描述，提出字重、重心、字面、字怀 4 个字体结构指标的认知计算公式，将无序的形态信息转 化为结构化的有序信息。然后基于汉字字体意象认知系统的非线性耦合的特点，发展出一种运 用多输出最小二乘支持向量回归机(MLS-SVR)进行汉字字体多意象预测的方法。将该方法对汉 字字体的 3 个意象进行预测，实验结果表明其具有良好的预测效果和精度。该模型可作为字体 智能设计系统的适应度函数，为发展字体智能设计提供有益的参考。     

基于改进DenseNet网络的书法字体识别算法

汉字书法是中华传统文化的代表,但是,由于书法字体具有风格迥异、结构复杂、变形繁多等特点,给大众学习和欣赏书法带来了极大障碍.为了解决普通老百姓解读书法作品的困难,提出一种基于改进DenseNet网络的书法字体识别算法,设计区域权值比例池化规则替换传统DenseNet网络的最大池化和平均池化规则,采用Nadam算法优化模...     

Effects of cathode ray tube display formats on quality‐assurance auditor's performance

The auditing process is a necessary and integral part of a quality‐assurance system. The tendency of using computers in the auditing process is a necessity. This work describes three experiments designed to explore the effects of presenting written material variables on reading speed and comprehension. Five graduate students who consented to participate first completed the font style selection process among six Arabic font styles. “Simplified,” “Traditional,” and “Koufi” font styles were selected from the typography style selection process to be implemented in the next two experiments. Eleven auditors and fourteen undergraduate students with and without knowledge of using computers participated in the second and the third experiments. The font types (Simplified Arabic, Traditional Arabic, and Monotype Koufi) and the font sizes (10, 13, and 16 point) were independent variables in the second experiment. Color combinations (white/black, black/white, blue/white, and white/blue), column types (one and two columns) that are crossed within auditors and naive students were the independent variables in the third experiment. Reading speed, comprehension levels in terms of accuracy of answering recognition and recall questions, and discomfort subjective measures were the dependent variables in both experiments. Results showed that the quality‐assurance auditors were superior to students at reading speed and comprehension. A 13‐point Simplified Arabic font type was better than other font type and font size combinations in terms of reading comprehension and discomfort measure. In addition, white characters on a black background screen color was superior to other character\screen color combinations in terms of reading speed, reading comprehension, and discomfort measure. © 2009 Wiley Periodicals, Inc.     

高性能的多体印刷英文识别系统的实现

提高低质量文本图像的识别率是现今文字识别研究的重要方向。文章对倾斜文本行的切分算法,断裂、粘连、交叠字符的切分算法以及后处理作了较为深入的研究,提出一些新的算法。该系统能够识别多达260种字体,包括黑体、斜体等字体,对训练集的识别率达到98.5%,并在实际应用中取得了良好效果。     

An efficient raster font compression for embedded systems

This paper presents a new lossless raster font compression method that uses vertex chain code to define character’s outline. Obtained chain codes are compressed by Huffman coding algorithm. The results show that the new method requires least memory space to store the raster fonts among the known methods. Moreover, the font size has almost no impact on the coder efficiency. Due to the low complexity of the decoder that occupies only 2.7 kB of memory space, this method is ideal for use in embedded systems.     

浅析汉字字体的审美表情及其分类优选

字体表情自汉字诞生之初业已存在,其发展变化的助推力来源于人类从不间断的文明进程。印刷术的推广加快了字体审美表情的演变速度。当下汉字字体的结构韵律及审美表情千姿百态,与汉民族性格存在一定的映射效应。汉字字体借鉴诸多西方字体的结构特征,形态日渐丰富多样。为期达到最佳审美及实用功效,应根据字体的审美表情差异对汉字字体进行分类优选。     

鲁棒的多体印刷英文识别系统的实现

文章讨论了设计一个实用的多体英文识别系统中解决的主要问题。该系统能识别多达260种字体,包括斜体和黑体等字体,对训练集的识别率达到99%,对实际文本测试的错误率比TH-OCR2000低56%。文章详细阐述了文本行字切分,特征提取和分类器设计,以及后处理所使用的常用技术,对各种技术的特点进行了分析和比较,并提出了一些新的技术。文章对于OCR系统的设计具有一定的指导意义。     

维哈柯文字库标准符合性检测研究

在调查和分析维哈柯文字库存在问题的基础上,依据国家制定的维哈柯文字符集标准与字形标准,明确了维哈柯文字库标准符合性检测的含义与内容,结合对TrueType字形技术,TrueType字库文件基本构成的详细研究,提出了完整的维哈柯文字库标准符合性检测的方案与算法,并实现了维哈柯文字库标准符合性检测工具的开发.实验结果表明检测方案完整、可行,能较好地解决维哈柯文字库标准符合性检测问题,对其它文字的字库标准符合性检测也具有一定的借鉴意义.     

基于深度学习的手写书法字体识别算法

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...     

Stretching letter and slanted‐baseline formatting for Arabic,Hebrew, and Persian with ditroff/ffortid and dynamic PostScript fonts

This paper describes an extension to ditroff/ffortid, a system for formatting bi‐directional text in Arabic, Hebrew and Persian. The previous version of the system is able to format mixed left‐to‐right and right‐to‐left text using fonts with separated letters or with connecting letters and only connection stretching, achieved by repeating fixed‐length baseline fillers. The latest extension adds the abilities to stretch letters themselves, as is common in Arabic, Hebrew and Persian calligraphic printing, and to slant the baselines of words, as is common in Persian calligraphic printing. The extension consists of modifications in ffortid that allow it to interface with (1) dynamic PostScript fonts to which one can pass to the outline procedure for any stretchable and/or connected letter, parameters specifying the amounts of stretch for the letter itself and/or for the connecting parts of the letter, and (2) PostScript fonts whose characters are slanted so that merely applying show to a word ends up printing that entire word on a single slanted baseline. As a self‐test, this paper was formatted using the described system, and it contains many examples of text written in Arabic, Hebrew and Persian. Copyright © 1999 John Wiley & Sons, Ltd.