Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/6043
Title: | Length estimation of digit strings using a neural network with structure-based features | Authors: | Lu, Z Chi, ZG Siu, WC |
Issue Date: | Jan-1998 | Source: | Journal of electronic imaging, Jan. 1998, v. 7, no. 1, p. 79-85 | Abstract: | Accurate length estimation is very helpful for the successful segmentation and recognition of connected digit strings, in particular, for an off-line recognition system. However, little work has been done in this area due to the difficulties involved. A length estimation approach is presented as a part of our automatic off-line digit recognition system. The kernel of our approach is a neural network estimator with a set of structure-based features as the inputs. The system outputs are a set of fuzzy membership grades reflecting the degrees of an input digit string of having different lengths. Experimental results on National Institute of Standards and Technology (NIST) Special Database 3 and other derived digit strings shows that our approach can achieve an about 99.4% correct estimation if the best two estimations are considered. | Keywords: | Feature extraction Feedforward neural nets Fuzzy neural nets Image recognition Image segmentation Multilayer perceptrons Parameter estimation |
Publisher: | SPIE-International Society for Optical Engineering | Journal: | Journal of electronic imaging | ISSN: | 1017-9909 | EISSN: | 1560-229X | DOI: | 10.1117/1.482629 | Rights: | Lu Z, Chi Z and Siu W, "Length estimation of digit strings using a neural network with structure-based features," J. Electron. Imaging., 7(1), p. 79-85 (1998) Copyright 1998 Society of Photo-Optical Instrumentation Engineers & Society for Imaging Science and Technology. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/1.482629 |
Appears in Collections: | Journal/Magazine Article |
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Lu_Lenath_Estimation_Diait.pdf | 142.96 kB | Adobe PDF | View/Open |
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