Efficient word segmentation driven by unconstrained handwritten phrase recognition
- Authors
- Park, J.; Govindaraju, V.; Srihari, S.N.
- Issue Date
- Sep-1999
- Publisher
- IEEE Computer Society
- Citation
- Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp 609 - 612
- Pages
- 4
- Journal Title
- Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
- Start Page
- 609
- End Page
- 612
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60541
- DOI
- 10.1109/ICDAR.1999.791860
- ISSN
- 1520-5363
- Abstract
- An efficient system which finds the best match between an input image and a lexicon is presented. To capture writing style of spacing between words and characters prime stroke analysis based on statistical methods is introduced. A method for estimating bound on number of characters without actual recognition is also presented. For system efficiency, before actual recognition, classified groups of word segments and eligible subset of lexicons are generated as hypotheses. The hypotheses are verified and ordered by a lexicon driven word recognizor. We have tested our approach in the street name recognition/interpretation for US mail stream. Experimental results and encouraging.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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