This web site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies.

Cookies are small text documents stored on your computer; the cookies set by this website can only be used on this website and pose no security risk.

Please do not proceed if you do not want these cookies being set.

Show Details

Cookie Name	Cookie Description	When not logged in	When logged in
prima_cookies	Remembers whether you have already closed this message.	Yes	Yes
prima_notice	Remembers if you have alreaded viewed any notice/warning message(s). Such a message is used to inform users of potential downtime or issues that might affect the normal operation of the website. It is set to expire after the date when such notice is obsolete (eg after an expected downtime/error is fixed).	Yes	Yes
PHPSESSID	The ID of your session.	Yes	Yes
__utma	This is set by Google Analytics. It stores each user's amount of visits, and the time of the first visit, the previous visit, and the current visit.	Yes	Yes
__utmb, __utmc	These are set by Google Analytics. They are used to check approximately how long you stay on a site (when a visit starts, and approximately ends).	Yes	Yes
__utmz	This is set by Google Analytics. It stores where a visitor came from (search engine, search keyword, link).	Yes	Yes

University of Salford

Not registered? - Request an account here

PRImA

Pattern Recognition & Image Analysis Research Lab

New open source releases

(14/10/2014)

PRImA released two more tools as open source on GitHub.

The Page Viewer is a stand-alone application for viewing page layout and text content of segmentation ground truth and results of page recognition/OCR systems. The natively supported file format is PAGE XML. However, ALTO XML, FineReader XML, and HOCR can be opened as well. It is available for Windows, Linux and MacOS and is now available as open source on GitHub.

The PAGE Metadata Scanner is a Java command line tool that scans a single PAGE XML file (document page layout and text content) and outputs its properties/statistics as comma-separated values. Is is also available open source on GitHub.