The Effect of Font Weight and Rendering System on Glance-Based Text Legibility

2016 ◽  
Author(s):  
Jonathan Dobres ◽  
Bryan Reimer ◽  
Nadine Chahine
Keyword(s):  
Text Legibility

Predicting Text Legibility over Textured Digital Backgrounds for a Monocular Optical See-Through Display

2017 ◽  
Vol 26 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Vito Modesto Manghisi ◽  
Michele Gattullo ◽  
Michele Fiorentino ◽  
Antonio Emmanuele Uva ◽  
Francescomaria Marino ◽  
...  
Keyword(s):  
Image Analysis ◽  
Augmented Reality ◽  
The Novel ◽  
User Test ◽  
User Ratings ◽  
Background Image ◽  
Text Legibility

Text legibility in augmented reality with optical see-through displays can be challenging due to the interaction with the texture on the background. Literature presents several approaches to predict legibility of text superimposed over a specific image, but their validation with an AR display and with images taken from the industrial domain is scarce. In this work, we propose novel indices extracted from the background images, displayed on an LCD screen, and we compare them with those proposed in literature designing a specific user test. We collected the legibility user ratings by displaying white text over 13 industrial background images to 19 subjects using an optical see-through head-worn display. We found that most of the proposed indices have a significant correlation with user ratings. The main result of this work is that some of the novel indices proposed had a better correlation than those used before in the literature to predict legibility. Our results prove that industrial AR developers can effectively predict text legibility by simply running image analysis on the background image.

The influence of text legibility on eye movements during reading

2009 ◽  
Vol 24 (8) ◽  
pp. 1129-1148 ◽  
Author(s):  
Timothy J. Slattery ◽  
Keith Rayner
Keyword(s):  
Eye Movements ◽  
Eye Movements During Reading ◽  
Text Legibility

Text legibility for projected Augmented Reality on industrial workbenches

2015 ◽  
Vol 70 ◽  
pp. 70-78 ◽  
Author(s):  
Michele Di Donato ◽  
Michele Fiorentino ◽  
Antonio E. Uva ◽  
Michele Gattullo ◽  
Giuseppe Monno
Keyword(s):  
Augmented Reality ◽  
Text Legibility

The effects of visual crowding, text size, and positional uncertainty on text legibility at a glance

2018 ◽  
Vol 70 ◽  
pp. 240-246 ◽  
Author(s):  
Jonathan Dobres ◽  
Benjamin Wolfe ◽  
Nadine Chahine ◽  
Bryan Reimer
Keyword(s):  
Positional Uncertainty ◽  
Visual Crowding ◽  
Text Legibility

scholarly journals Evaluation of Text Legibility in Alternative Imaging Approaches to Microfiche Digitization

2021 ◽  
Vol 2021 (1) ◽  
pp. 96-101
Author(s):  
Hilda Deborah ◽  
Dipendra J. Mandal
Keyword(s):  
Data Collection ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Optical Character ◽  
Archival Storage ◽  
Digital Formats ◽  
Historical Periods ◽  
Text Legibility

Microfiche was a common format used in microforms reproductions of documents, extensively used for archival storage before the move to digital formats. While contemporary documents are still available for digitization, others from older historical periods are no longer physically accessible for various reasons. In some cases, their microfiche copies are available, making microfiche digitization a must. However, a microfiche reader is not always available and, even then, it is a machine made for the purpose of reading and not for data collection. In this work, the performance two imaging devices are evaluated as alternatives to the traditional microfiche reader, by means of optical character recognition (OCR). Results show that this alternative surpasses the performance of a microfiche reader in terms of text legibility.

Sign in / Sign up

Export Citation Format

Share Document