Abstract:This study reports on the legibility of digits, symbols, and letters from 20 onscreen typefaces. Participants were asked to identify individual characters after a brief exposure and performance was recorded. Classification tree analysis was used to examine the influence of specific character features on legibility. Features included attributes such as height, width, weight, stroke variation, contrast, and complexity. Results reveal the most influential features for six commonly confused characters (zero, one, … Show more
“…Some studies showed how font design features could affect the legibility of specific characters. One of the recent researches [10] examined the legibility of isolated letters, individual digits, and symbols of 20 onscreen typefaces. Experiment have been conducted on ten subjects completing 188 trials in which the characters were exposed in a single presentation for 34 milliseconds, and subjects were asked to name them aloud.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the proportion between the word height WH and descender has been calculated as in (9) using letter 'Meem' . )م( The ratio among three measurements, tooth/loop height, ascender and descender, have been calculated using equations (10)…”
Huge digitized book projects have been launched recently like Google Book Search Library project and MLibrary. They basically depend on optical character recognition systems (OCR) to convert scanned books or documents into editable and text searchable e-books. Although research on OCR area pursued over decades, very few of them focus on the effect of typeface design on the recognition rate. We took a further step by conducting systematically two observational experiments on Latin and Arabic typefaces using OCR tools. A collection of 18 Latin and 13 Arabic typefaces have been tested in two sizes using six OCR packages in total. In addition, confusion tables have been constructed to show similarities among some characters of the alphabet. Extensive analyses were made to find correlations between the recognition rates and font design characteristics. Our findings indicate that some font design features showed influence and negative effects on the recognition rate. This will guide typeface designers to produce recognizable typefaces and publishers to select the appropriate recognizable fonts.
“…Some studies showed how font design features could affect the legibility of specific characters. One of the recent researches [10] examined the legibility of isolated letters, individual digits, and symbols of 20 onscreen typefaces. Experiment have been conducted on ten subjects completing 188 trials in which the characters were exposed in a single presentation for 34 milliseconds, and subjects were asked to name them aloud.…”
Section: Related Workmentioning
confidence: 99%
“…Moreover, the proportion between the word height WH and descender has been calculated as in (9) using letter 'Meem' . )م( The ratio among three measurements, tooth/loop height, ascender and descender, have been calculated using equations (10)…”
Huge digitized book projects have been launched recently like Google Book Search Library project and MLibrary. They basically depend on optical character recognition systems (OCR) to convert scanned books or documents into editable and text searchable e-books. Although research on OCR area pursued over decades, very few of them focus on the effect of typeface design on the recognition rate. We took a further step by conducting systematically two observational experiments on Latin and Arabic typefaces using OCR tools. A collection of 18 Latin and 13 Arabic typefaces have been tested in two sizes using six OCR packages in total. In addition, confusion tables have been constructed to show similarities among some characters of the alphabet. Extensive analyses were made to find correlations between the recognition rates and font design characteristics. Our findings indicate that some font design features showed influence and negative effects on the recognition rate. This will guide typeface designers to produce recognizable typefaces and publishers to select the appropriate recognizable fonts.
This paper identifies easily misrecognised letters and symbols in highly legible typefaces for general, children, dyslexic, visually impaired and ageing users. It can also be considered as a review of related research in this area.
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