Relevant bibliographies by topics / Computer fonts

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Computer fonts'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Computer fonts"

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Kubiak, Ireneusz. "Font Design—Shape Processing of Text Information Structures in the Process of Non-Invasive Data Acquisition." Computers 8, no. 4 (September 23, 2019): 70. http://dx.doi.org/10.3390/computers8040070.

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Computer fonts can be a solution that supports the protection of information against electromagnetic penetration; however, not every font has features that counteract this process. The distinctive features of a font’s characters define the font. This article presents two new sets of computer fonts. These fonts are fully usable in everyday work. Additionally, they make it impossible to obtain information using non-invasive methods. The names of these fonts are directly related to the shapes of their characters. Each character in these fonts is built using only vertical and horizontal lines. The differences between the fonts lie in the widths of the vertical lines. The Safe Symmetrical font is built from vertical lines with the same width. The Safe Asymmetrical font is built from vertical lines with two different line widths. However, the appropriate proportions of the widths of the lines and clearances of each character need to be met for the safe fonts. The structures of the characters of the safe fonts ensure a high level of similarity between the characters. Additionally, these fonts do not make it difficult to read text in its primary form. However, sensitive transmissions are free from distinctive features, and the recognition of each character in reconstructed images is very difficult in contrast to traditional fonts, such as the Sang Mun font and Null Pointer font, which have many distinctive features. The usefulness of the computer fonts was assessed by the character error rate (CER); an analysis of this parameter was conducted in this work. The CER obtained very high values for the safe fonts; the values for traditional fonts were much lower. This article aims to presentat of a new solution in the area of protecting information against electromagnetic penetration. This is a new approach that could replace old solutions by incorporating heavy shielding, power and signal filters, and electromagnetic gaskets. Additionally, the application of these new fonts is very easy, as a user only needs to ensure that either the Safe Asymmetrical font or the Safe Symmetrical font is installed on the computer station that processes the text data.
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Kumar, Avinash, Kyeolhee Kang, Ammar ul Hassan Muhammad, and Jaeyoung Choi. "FontFusionGAN: Refinement of Handwritten Fonts by Font Fusion." Electronics 12, no. 20 (October 13, 2023): 4246. http://dx.doi.org/10.3390/electronics12204246.

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Handwritten fonts possess unique expressive qualities; however, their clarity often suffers because of inconsistent handwriting. This study introduces FontFusionGAN (FFGAN), a novel method that enhances handwritten fonts by mixing them with printed fonts. The proposed approach leverages a generative adversarial network (GAN) to synthesize fonts that combine the desirable features of both handwritten and printed font styles. Training a GAN on a comprehensive dataset of handwritten and printed fonts enables it to produce legible and visually appealing font samples. The methodology was applied to a dataset of handwriting fonts, showing substantial enhancements in the legibility of the original fonts, while retaining their unique aesthetic essence. Unlike the original GAN setting where a single noise vector is used to generate a sample image, we randomly selected two noise vectors, z1 and z2, from a Gaussian distribution to train the generator. Simultaneously, we input a real image into the fusion encoder for exact reconstruction. This technique ensured the learning of style mixing during training. During inference, we provided the encoder with two font images, one handwritten and the other printed font, to obtain their respective latent vectors. Subsequently, the latent vector of the handwritten font image was injected into the first five layers of the generator, whereas the latent vector of the printed font image was injected into the last two layers to obtain a refined handwritten font image. The proposed method has the potential to improve the readability of handwritten fonts, offering benefits across diverse applications, such as document composition, letter writing, and assisting individuals with reading and writing difficulties.
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Wright, T. "History and technology of computer fonts." IEEE Annals of the History of Computing 20, no. 2 (1998): 30–34. http://dx.doi.org/10.1109/85.667294.

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Griffee, A. W., and C. A. Casey. "An introduction to typographic fonts and digital font resources." IBM Systems Journal 27, no. 2 (1988): 206–18. http://dx.doi.org/10.1147/sj.272.0206.

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James, Stephen E. "Soft Palette Fonts." Electronic Library 5, no. 2 (February 1987): 84. http://dx.doi.org/10.1108/eb044737.

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Chen, Keh‐Jiann, Chien‐Chiao Yang, and Wei‐Chiao Wu. "A computer aided design system for artistic Chinese fonts." Journal of the Chinese Institute of Engineers 9, no. 4 (June 1986): 431–36. http://dx.doi.org/10.1080/02533839.1986.9676909.

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Gossling, T. H. "Beyond Hershey: A Representation of Fonts for Computer Graphics." Computer Graphics Forum 5, no. 4 (December 1986): 291–95. http://dx.doi.org/10.1111/j.1467-8659.1986.tb00315.x.

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McCallum, J. "Fonts are intellectual property too!" ITNOW 49, no. 4 (July 1, 2007): 6–7. http://dx.doi.org/10.1093/itnow/bwm002.

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Marovac, Nenad. "Handling fonts in electronic publishing systems." Computers & Graphics 11, no. 3 (January 1987): 289–95. http://dx.doi.org/10.1016/0097-8493(87)90009-4.

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Lingan, Loganathan. "Anachronism in Fonts and Relative Dating of Computer Printed Documents: A Case Report." Arab Journal of Forensic Sciences & Forensic Medicine 2, no. 2 (September 7, 2020): 203–8. http://dx.doi.org/10.26735/qzjs3127.

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In the field of forensic document examination, identification of fonts and their dates of release may provide a lead as to the relative age of computer printouts. Hence, fonts in a printout can be used as a means of evaluation of an anachronism or chronological inconsistency. Therefore, an anachronism betrays the fabricated nature of the questioned documents. In the present case study, the traditional methodology of typescript matching coupled with an off-line digital tool were used in identifying pre-dated documents and disproving the genuineness of the documents in question. The procedure adopted for differentiation, identification and confirmation of font(s) and years of release of fonts for commercial use is discussed.Hence, in this case report it was safely concluded that the disputed agreement for sale could have been prepared on a later date than the purported date of execution i.e.1993 for the reason that the use of the “Comic Sans MS” font is an anachronism.
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Dissertations / Theses on the topic "Computer fonts"

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Desruisseaux, Bernard. "Random dynamic fonts." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=27307.

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This thesis presents a general method and structure for storing, representing and reproducing random dynamic fonts, i.e., fonts whose each rendition of each letterform differs. Such fonts allow, e.g., to come closer to simulating true handwriting, by rendering its freedom, spontaneity, and unpredictability.
This method allows the generation of random letterforms with different overall shapes, derived from single letterform descriptions, according to specified parameters and constraints. Letterforms generated in this manner remain closely related--to a certain extent--to the original letterforms, and preserve the continuity and thickness of the strokes.
Several examples of a typeface family designed with this method, implemented as PostScript Type 3 font programs, are presented. A survey of the literature on random dynamic fonts is also proposed.
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Lau, Man-kin, and 劉文建. "Learning by example for parametric font design." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B41897183.

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Lau, Man-kin. "Learning by example for parametric font design." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B41897183.

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Kwon, Samuel M. (Samuel Moonha). "Pixel-level data fusion techniques applied to the detection of gust fonts." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/38351.

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Solli, Martin. "Topics in Content Based Image Retrieval : Fonts and Color Emotions." Licentiate thesis, Norrköping : Department of Science and Technology, Linköping University, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-16941.

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Nygren, Maria. "Web Font Optimization for Mobile Internet Users : A performance study of resource prioritization approaches for optimizing custom fonts on the web." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-85481.

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According to the HTTP Archive, 75% of websites are using web fonts. Multiple conditions have to be met before modern web browsers like Chrome, Firefox and Safari decide to download the web fonts needed on a page. As a result, web fonts are late discovered resources that can delay the First Meaningful Paint (FMP). Improving the FMP is relevant for the web industry, particularly for performance-conscious web developers. This paper gives insight into how the resource prioritization approaches HTTP/2 Preload and HTTP/2 Server Push can be used to optimize the delivery of web fonts for first-time visitors. Five font loading strategies that use HTTP/2 Server Push and/or Preload were implemented on replicas of the landing pages from five real-world websites. The font loading strategies were evaluated against each other, and against the non-optimized version of each landing page. All the evaluated font loading strategies in this degree project improved the time it took to deliver the first web font content to the user’s screen, resulting in a faster FMP. It was also discovered that HTTP/2 Server Push, on its own, is not a more performance efficient resource prioritization approach than HTTP/2 Preload when it comes to delivering web font content to the client. Further, HTTP/2 Server Push and HTTP/2 Preload appears to be more efficient when used together, in the context of optimizing the delivery of web font content. However, all conclusions in this paper are based on the results gathered from testing the font loading strategies in an emulated environment and are yet to be confirmed on actual mobile devices with real network conditions.
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Gosse, Ross. "Adapting Hvistendahl's and Kahl's typographic legibility study to the World Wide Web." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1129625.

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In 1975, J.K. Hvistendahl and Mary R. Kahl tested 200 individuals to determine if readers preferred serif type for the body text of stories in newspapers. Subjects read stories set in serif and sans serif type. They were timed and asked for their preference as to which typeface they felt was more legible. The researchers found that test subjects preferred serif type the body text in their newsprint. After comparing the time it took subjects to read stories, researchers found readers needed less time to read stories set in serif type than sans serif.Almost 25 years later, another generation of readers has emerged, and Web pages are commonplace among many newspapers today. Yet nothing has been done to determine if these same findings are true for the World Wide Web. This study set out to do just that.Two hundred subjects were recruited for this study, each one placed into one of four groups: male student, male non-student, female student, and female non-student. Each subject was asked to read two 325-word stories, each on its own World Wide Web page. One story was set in a serif typeface, the other set in a sans serif typeface. Subjects were unobrusively timed with a stopwatch as they read each story. After reading the two stories, they were asked which typeface they felt was more legible, serif or sans serif.Overall, readers showd no statistically significant preference for serif or sans serif type in body text on the World Wide Web. The data was tested with ANOVA while frequencies and were also gathered. Only one statistically significant interaction surfaced which found that male students, who preferred sans serif type, took a statistically significant longer time to read online stories set in serif type.
Department of Journalism
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Zhou, Juannan. "Marks of Design/." Baltimore, MD : University of Baltimore, 2008. http://www.marks-of-design.com.

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Mazzucato, Sandro. "Optimization of Bézier outlines and automatic font generation." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22772.

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A new method for the approximation of bitmap outlines with Bezier curves is presented in this thesis. This probabilistic approach accurately describes the contours with a small number of $C sp2$ continuous splines. The approximation is refined iteratively using a quality function. The evaluation method is based upon the smoothness of the generated outline and the precision at which it interpolates the original contour. Merge operations of adjacent Bezier splines and spline alterations using an adaptive random search technique are employed for finding an optimal solution.
A program implementing the proposed algorithm was created and may be used to automatically generate PostScript type 1 fonts. The algorithm has shown to be very stable and to converge rapidly. Many new typefaces have been generated with the software and are shown in this thesis.
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Tsang, Pong-fan Dex, and 曾邦勳. "Enhanced font services for X Window system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B42576003.

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Books on the topic "Computer fonts"

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Olivera, Hector J. Mariscal. Edifont - an interactive font editing system. Monterey, California: Naval Postgraduate School, 1988.

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Robin, Williams. How to boss your fonts around: A primer on font technology and font management on the Macintosh. 2nd ed. Berkeley, Calif: Peachpit Press, 1998.

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inc, Interleaf. Interleaf 5 font manager utility for postscript fonts unix. 5th ed. Manchester: Manchester ComputingCentre, 1991.

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Searfoss, Glenn. The computer font book. Berkeley: McGraw-Hill, 1993.

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Jonathan, Grosvenor, Morrison Kaye, and Pim Alexandra, eds. The Postscript font handbook: A directory of type 1 fonts. Wokingham, England: Addison-Wesley, 1992.

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Angell, David. The Windows 3.1 font book. Berkeley, CA: Peachpit Press, 1992.

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Taylor, Don. Directory of digital font libraries. 2nd ed. Agoura, Calif: LPI Pub. Co., 1985.

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King, Jean Callan. The designer's guide to PostScript text type. New York: Van Nostrand Reinhold, 1993.

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Sūn Thēknōlōyī ʻIlekthrō̜nik læ Khō̜mphiutœ̄ hǣng Chāt. Fāi Klum Wičhai læ Phatthanā Sākhā Sārasonthēt., ed. Bǣp tūaphim Thai. Krung Thēp: Sūn Thēknōlōyī ʻIlekthrō̜nik læ Khō̜mphiutœ̄ hǣng Chāt, 2001.

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Busch, David D. The font problem solver: How to install and use type with your software and printer. Homewood, IL: Business One Irwin, 1992.

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Book chapters on the topic "Computer fonts"

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Banouni, Mostafa, Elyaakoubi Mohamed, and Azzeddine Lazrek. "Dynamic Arabic Mathematical Fonts." In Lecture Notes in Computer Science, 149–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27773-6_11.

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Demaine, Erik D., and Martin L. Demaine. "Fun with Fonts: Algorithmic Typography." In Lecture Notes in Computer Science, 16–27. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07890-8_2.

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Píška, Karel. "Creating Type 1 Fonts from metafont Sources." In Lecture Notes in Computer Science, 240–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27773-6_19.

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Williams, George. "Beyond Glyphs, Advanced Typographic Features of Fonts." In Lecture Notes in Computer Science, 257–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27773-6_20.

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Kalingeri, Ranjith, Vandana Kushwaha, Rahul Kala, and G. C. Nandi. "Synthesis of Human-Inspired Intelligent Fonts Using Conditional-DCGAN." In Computer Vision and Machine Intelligence, 691–707. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7867-8_55.

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Alsumait, Asmaa, Asma Al-Osaimi, and Hadlaa AlFedaghi. "Arab Children’s Reading Preference for Different Online Fonts." In Human-Computer Interaction. Interacting in Various Application Domains, 3–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02583-9_1.

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Duan, Qijun, and Xiaoli Zhang. "User’s Individual Needs Oriented Parametric Design Method of Chinese Fonts." In Lecture Notes in Computer Science, 164–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20907-4_15.

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Byun, Jeongyong, Seongbum Hong, and Hoyoung Kim. "A Design Scheme of Combined Syllable Fonts for Hunminjeongeum." In Advances in Computer Science and Ubiquitous Computing, 1096–102. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_170.

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Dingli, Alexiei, Mark Bugeja, Dylan Seychell, and Simon Mercieca. "Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes." In Lecture Notes in Computer Science, 65–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99740-7_5.

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Zhao, Yulin, and Ding-Bang Luh. "The Impact of Smartphone Fonts and Text Colors on Visual Recognition of the Elderly." In Lecture Notes in Computer Science, 183–91. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61543-6_14.

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Conference papers on the topic "Computer fonts"

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Shi Zengquan. "Experimental study in dynamic fonts." In 2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design. IEEE, 2009. http://dx.doi.org/10.1109/caidcd.2009.5375439.

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Janbi, Jehan. "Classifying Digital Arabic Fonts Based on Design Characteristics." In 2018 21st Saudi Computer Society National Computer Conference (NCC). IEEE, 2018. http://dx.doi.org/10.1109/ncg.2018.8593037.

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Kumawat, Nirmal. "Automated Physics Based Animation of Fonts." In SIGGRAPH '20: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388770.3407434.

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Burmistrov, Ivan, Tatiana Zlokazova, Iuliia Ishmuratova, and Maria Semenova. "Legibility of Light and Ultra-Light Fonts." In NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2971485.2996745.

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Mueller, Tobias, Daniel Klotzsche, Dominik Herrmann, and Hannes Federrath. "Dangers and Prevalence of Unprotected Web Fonts." In 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2019. http://dx.doi.org/10.23919/softcom.2019.8903683.

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miao, yalin, yaoxin nie, wangqiang liu, wenxin gao, wanting bai, jiuling wang, and yixin yang. "Research on vector fonts generation based on hierarchical decoupling model." In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), edited by Harris Wu and Haiwu Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3026326.

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Liu, Lin, and Junyi Yin. "Research on Computer Graphics Technology and Multi-dimensional Spatial Design of Chinese Fonts." In 2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC). IEEE, 2022. http://dx.doi.org/10.1109/icnisc57059.2022.00162.

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Chen, Chia-Hao, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, and Song-Hai Zhang. "Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.00510.

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Wang, Yuqing, Yizhi Wang, Longhui Yu, Yuesheng Zhu, and Zhouhui Lian. "DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.01757.

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Zhang, Long. "Research and Application of Icon Fonts in Web Front-end Technology." In Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iccia-19.2019.41.

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