The Effects of Hangul Font and Character Size on the Readability in PDA

2008 ◽  
pp. 601-614
Author(s):  
Keun-Sang Park ◽  
Sin Hee Ann ◽  
Chang-Han Kim ◽  
Milda Park ◽  
Seoung-Soo Lee
Keyword(s):  
Character Size

Experiment 2

2017 ◽  
pp. 204-221
Author(s):  
Azza A Abubaker ◽  
Joan Lu
Keyword(s):  
Previous Experiment ◽  
Visual Display ◽  
Arabic Language ◽  
Line Length ◽  
Arabic Text ◽  
Font Size ◽  
Character Size ◽  
Students Attitudes ◽  
Font Type ◽  
Two Independent Variables

The outcomes for the previous experiment in this research indicated that students' attitudes differ according to the way of presenting the text and text layout. As the aim of the study was to investigate the three main typographic variables [font size, font type and line length] we will start by font size and font type. Much research has highlighted the character size as a factor in visual display, and reported that font size has a significant effect on readability of texts in both versions. Therefore, defining a readable font size for the Arabic language is the main focus of this experiment, taking into account the effect of one dependent variable, four controlled variables and two independent variables: content length and font type. Students were required to make different judgments of letter pairs, thus indicating which letters were distinguishable. Based on the findings of this experiment, subsequent experiments were designed. In addition, the findings of this experiment will be able to address the issues related to reading Arabic text from screen by children in relation to the following: RQ1: In which font size is the Arabic text read most effectively? RQ2: Is there any correlation between age of the reader and font size? RQ3: Which font type is more readable?

Relative-size Magnification versus Relative-distance Magnification: Effect on the Reading Performance of Adults with Normal and Low Vision

1998 ◽  
Vol 92 (7) ◽  
pp. 433-446 ◽  
Author(s):  
Jan Lovie-Kitchin ◽  
Steve Whittaker
Keyword(s):  
Low Vision ◽  
Relative Size ◽  
Reading Performance ◽  
Relative Distance ◽  
Normal Vision ◽  
Optical Correction ◽  
Character Size ◽  
Print Size ◽  
Reading Distance ◽  
Magnification Effect

In the study reported here, the effect of character size on the reading rates of adults with normal and low vision was measured using both relative-size magnification (by which the print size is increased) and relative-distance magnification (by which the reading distance is decreased with appropriate optical correction). With relative-distance magnification, the reading rates of the subjects with normal vision were slower at close distances, but the results were small and inconsistent. For the subjects with low vision, the magnification method did not affect their reading rates.

scholarly journals Research on Recognition and Evaluation of Traffic Guide Sign

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Li Yuan ◽  
Ming-jie Cai ◽  
Tang-yi Guo ◽  
Yu Jiang
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Analytic Hierarchy ◽  
Convenience Sample ◽  
Second Stage ◽  
Sign Recognition ◽  
Character Size ◽  
Nanjing City ◽  
Hierarchy Process ◽  
Comprehensive Score

Traffic guide signs are effective only when they are clearly recognized by drivers. Three experiments were conducted in this study. In the first, the influence factors of guide sign recognition were studied. This study investigated 11 main factors with a convenience sample of drivers from Nanjing city in China. Weights of different influence factors were obtained through analytic hierarchy process (AHP). The results showed that the setting position, occlusion degree, and character size of guide sign had the most significant influence on the guide sign recognition, while other factors were less important. In the second stage, an evaluation model of guide sign recognition was developed based on weights of different factors. Four equations were presented to calculate the comprehensive score of guide sign, and the level of recognition was divided into five grades according to the comprehensive score. At last, a typical case in Nanjing was studied to verify the rationality and reliability of the evaluation model. Results from the real application indicate that the method had good applicability and can be used by traffic engineers.

scholarly journals Two-Dimensional Spatial Frequency Content and Confusions among Dot Matrix Characters

1979 ◽  
Vol 23 (1) ◽  
pp. 384-388
Author(s):  
Michael E. Maddox
Keyword(s):  
Spatial Frequency ◽  
Similarity Measure ◽  
Similarity Measures ◽  
Final Analysis ◽  
Second Phase ◽  
Two Dimensional ◽  
Two Phase ◽  
Frequency Spectra ◽  
Character Size ◽  
Point Fast Fourier Transform

A two-phase study was conducted which related the confusions among dot matrix characters to the two-dimensional spatial frequency similarity of these characters. During the first phase of the study, subjects were shown single alphanumeric characters from four different dot matrix fonts and five matrix size/character sub-tense combinations. Data from this phase of the research were analyzed in terms of both correctness and character confusion frequencies. The second phase of the study consisted of digitizing and analyzing all characters from two of the fonts used in the first phase. The fonts chosen represent the most and least confusable of the four, based on the performance data obtained. These characters were scanned photometrically using a computer-controlled X-Y stage and subjected to a 512 × 512 point fast Fourier transform (FFT). The Fourier coefficients were correlated for all possible character pairs within each font-matrix/character size cell. These correlations provided an objective similarity measure among characters based upon their 2-D spatial frequency spectra. In addition to the spatial frequency similarity measure, a simple digital Phi coefficient was calculated for each character pair. The final analysis performed in this study was the correlation of observed performance (confusions) with objective similarity measures (2-D spectra and Phi coefficients).

Text recognition in radiographic weld images

2019 ◽  
Vol 61 (10) ◽  
pp. 597-602
Author(s):  
Yasheng Chang ◽  
Weiku Wang
Keyword(s):  
Character Recognition ◽  
Good Accuracy ◽  
State Of The Art ◽  
Text Recognition ◽  
Learning Approaches ◽  
Radiographic Images ◽  
Character Size ◽  
Digital Scanning ◽  
Better Than ◽  
Improved Algorithm

Automatic recognition of text characters on radiographic images based on computer vision would be a very useful step forward as it could improve and simplify the file handling of digitised radiographs. Text recognition in radiographic weld images is challenging since there is no uniform font or character size and each character may tilt in different directions and by different amounts. Deep learning approaches for text recognition have recently achieved breakthrough performance using convolutional neural networks (CNNs). CNNs can recognise normalised characters in different fonts. However, the tilt of a character still has a strong influence on the accuracy of recognition. In this paper, a new improved algorithm is proposed based on the Radon transform, which is very effective at character rectification. The improved algorithm increases the accuracy of character recognition from 86.25% to 98.48% in the current experiments. The CNN is used to recognise the rectified characters, which achieves good accuracy and improves character recognition in radiographic weld images. A CNN greatly improves the efficiency of digital scanning and filing of radiographic film. The method proposed in this paper is also compared with other methods that are commonly used in other fields and the results show that the proposed method is better than state-of-the-art methods.

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