| Bibliography | Müller, Thomas: Addressing the Punctuation Marks Problem in Automatic Handwriting Recognition.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Student Thesis No. 2233 (2010).
38 pages, english.
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| CR-Schema | I.2.7 (Natural Language Processing)
I.4.7 (Image Processing and Computer Vision Feature Measurement)
I.5.1 (Pattern Recognition Models)
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| Abstract | Abstract In this work the functionality of a modern handwriting recognition system is explained. The need for a good punctuation detection is brie y motivated. Experiments to enhance the performance of the system on the detection of punctuation marks are developed and analysed. Finally, the unsatisfying results of these experiments are discussed and new ideas for future research are sketched.
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Full text and
other links | PDF (727972 Bytes)
Access to students' publications restricted to the faculty due to current privacy regulations |
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| Department(s) | University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
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| Superviser(s) | Prof. Dr. Gunther Heidemann |
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| Entry date | August 9, 2010 |
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