DocumentCode
594725
Title
Collecting historical font metrics from Google Books
Author
LiVolsi, R. ; Zanibbi, Richard ; Bigelow, C.
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
351
Lastpage
355
Abstract
A system is presented for extracting key metrics from fonts used in historical documents. The system identifies important landmarks on a page, such as margins, paragraphs, and lines, and applies frequency analysis techniques to identify relevant sizes. The system was validated by comparing its measurements to the measurements of a human expert on randomly selected samples, and differed on average from the expert by less than 5% for x-height, body size, and line spacing metrics.
Keywords
document image processing; history; Google books; frequency analysis techniques; historical documents; historical font metrics; line spacing metrics; randomly selected samples; Google; Humans; Image segmentation; Noise; Size measurement; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460144
Link To Document