Recursive handwriting recognition using epistemic utility theory
- Authors
- Park, Jaehwa; Govindaraju, Venu
- Issue Date
- Oct-1999
- Publisher
- IEEE, United States
- Citation
- Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, v.6, pp VI--885 - VI--889
- Journal Title
- Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
- Volume
- 6
- Start Page
- VI--885
- End Page
- VI--889
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60540
- DOI
- 10.1109/ICSMC.1999.816669
- ISSN
- 0884-3627
- Abstract
- In most handwriting recognition systems, the processing steps of segmentation, recognition, decision making and postprocessing are serially taken. These systems usually use the resources exhaustively in each stage of the serial engine. Every stage is tuned to maximize global performance. However, such a paradigm is prone to miss the global optimal point because the individual stages often do not have all the information available. A more interactive model is desirable. In this paper we describe such a model extending the concepts of satisficing decision mechanisms. Our experiments show proof of validity of the proposed model.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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