Cursive script recognition using a dynamic time warping method Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/wm117r91k

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  • This thesis is concerned with the problem of achieving accurate recognition rates for Cursive Script Recognition (CSR). Cursive Script Recognition is difficult due to writer variations such as script formation and time non-linearities. This research entailed analysis and implementation of a Cursive Script word-level Recognition system using Dynamic Time Warping (DTW). Experimental results included recognition rates for various data and an in-depth analysis of reference symbol database inter-class relationships. The results are used to show that a clear relationship exists between word length and inter-class separation. Finally, a method is proposed to pre-select a subset of classes for DTW using global features in order to reduce the linear search time associated with DTW.
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  • description.provenance : Submitted by Kim Stowell (ksscannerosu@gmail.com) on 2013-05-21T21:58:53Z No. of bitstreams: 1 KoehlerLorenM1989.pdf: 1148768 bytes, checksum: 200766d39bf8b46c9cb8021a705dc544 (MD5)
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-05-29T15:35:11Z (GMT) No. of bitstreams: 1 KoehlerLorenM1989.pdf: 1148768 bytes, checksum: 200766d39bf8b46c9cb8021a705dc544 (MD5)
  • description.provenance : Made available in DSpace on 2013-06-28T22:19:53Z (GMT). No. of bitstreams: 1 KoehlerLorenM1989.pdf: 1148768 bytes, checksum: 200766d39bf8b46c9cb8021a705dc544 (MD5) Previous issue date: 1988-12-05

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