Bouwman, J (2015) The role of background in recognition of character pairs. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Humans have little difficulty reading handwriting. There are some indications that background has an effect in recognizing familiar objects. Characters can be seen as familiar objects for humans as well. We explore the use of features from the background between character pairs as a means to successfully recognize the characters themselves. What is the role of background in recognition of character pairs? In the cases of machine font stimuli and handwritten stimuli we test if humans are capable of achieving successful recognition using background features. We show them extracted background blobs from character pairs that appear rarely, occasionally or frequently in Dutch text. Results indicate that humans can accomplish recognition with a average success rate of 95% for the machine font condition and 38% for the handwriting condition. This implies background between characters hold features suitable for future character recognition applications.
Item Type: | Thesis (Bachelor's Thesis) |
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Degree programme: | Artificial Intelligence |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 15 Feb 2018 08:02 |
Last Modified: | 15 Feb 2018 08:02 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/12435 |
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