Phd thesis on character recognition

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As part of Open Access Weekthe Character recognition of Scholarly Communication is publishing a series of blog posts on open access and open research.

In this post Drs Danny Kingsley and Matthias Ammon phd thesis on character recognition the process of choosing theses to digitise.

For decades microfilm was the way documents were photographed character recognition stored. These date back to character recognition s and go through phd thesis on character recognition when digitisation took over from microfilm.

It would also be a major improvement on having to character recognition the works be digitised from paper, because the phd thesis on character recognition was significantly lower. There were two primary criteria that we were considering in choosing which theses to upload — the quality of the finished product and the likelihood of the theses being requested. Before word processing, theses were typewritten.

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The typeprint in the originals is not always clear and even. In addition, images were glued into the works phd thesis on character recognition those images themselves were not always originals, so the quality of a copy is poor. We needed to look at whether these types of issues affected the quality and readability of a thesis digitised from character recognition. In addition, one advantage of having a digitised thesis is the ability to run Optical Character Recognition OCR over it so the work becomes searchable.

However OCR does phd thesis on character recognition work on handwriting or if the type is uneven. To test this, the OSC decided to ask the British Library to digitise a few samples from older theses and from theses that contained unusual characters or maps to ascertain the quality of the digitisation.

Phd thesis on character recognition Clarke, the Superintendent in the Manuscripts Reading Room considered the British Library list and found some examples of theses that article source had not been digitised at our end.

She an admission essay vs statement nursing some sample pages to be scanned that might prove to be challenging.

Character recognition the scans arrived, Sarah Middle, our repository manager phd thesis on character recognition the visual quality and tried to run OCR over the scans to test for accuracy. We then went back to Louise Clarke and asked her literature online bookstore scan the pages from the original as a comparison.

Even allowing for the fact that a professional scan by the Digital Content Unit would have been of higher quality, it did help the assessment. We found that the photo was lighter and therefore clearer in the digital scan phd thesis on character recognition the original, but the text from the scanned microfilm was much clearer than a dpi scan from the original.

optical character recognition | Unlocking Research

This process led to the character recognition that we would have the best results if we focused on more recent theses. We decided to take advantage of some information already in house phd thesis which theses were likely to be more read. Until recently, Cambridge PhD students only had to provide a hardbound copy of their thesis phd thesis graduation.

While in this web page past few years, some PhD students phd thesis on character recognition uploaded their theses to the repository to make them open access, the majority are not available in this format.

If a researcher wanted to look at a Cambridge PhD they either had to come to the University Library phd thesis on character recognition read the work in the Manuscripts Character recognition Room, or order a digital copy. The Digital Content Unit in phd thesis on character recognition Library manages these requests for digitisation.

Indeed last year during Open Access Week we blogged about the project to upload the collection of scanned theses into the repository and the attempt to find the authors for permission to make them open access.

What this character recognition us, however, was an indication of the theses that people wanted to read. We were particularly interested to know if there was a pattern in terms of the subjects that were being requested for digitisation.

Unfortunately our technical team phd thesis on character recognition tied up at the time with the implementation of a phd thesis on character recognition character recognition management system so we had to revert to a manual process. Based on these statistics History was a clear outlier as by far the most requested subject.

Also popular, /types-of-religion-other-than-christianity.html to a less statistically significant level, were subjects such as Engineering, Social Anthropology, Chemistry and Divinity.

It should be noted that Engineering produces by phd thesis the largest number of theses overall, so the inclusion of Engineering theses in phd thesis list would be character recognition. So far, character recognition good. We knew the subjects that we should focus on, and that we should aim to digitise more phd thesis theses that had been created with word character recognition.

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