An optimum character recognition system using decision functions
Abstract
The character recognition problem, usually resulting from characters being corrupted by printing deterioration and/or inherent noise of the devices, is considered from the viewpoint of statistical decision theory. The optimization consists of minimizing the expected risk for a weight function which is preassigned to measure the consequences of system decisions As an alternative minimization of the error rate for a given rejection rate is used as the critenon. The optimum recogition is thus obtained. The optimum system consists of a conditional-probability densisities computer; character channels, one for each character; a rejection channel; and a comparison network. Its precise structure and and ultimate performance depend essentially upon the signals and noise structure. Explicit examples for an additive Gaussian noise and a ``cosine'' noise are presented. Finally, an error-free recognition system and a possible criterion to measure the character style and deteriortation are presented.
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The 1950s witnessed the first applications of the Naïve Bayes classifier in pattern recognition and information retrieval.
“The 1950s also witnessed the first applications of the Naïve Bayes (NB) classifier in the fields of pattern recognition [97] and information retrieval [297].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [97]
Cites
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Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036 · see citing works
Second opinion needed: Communicating uncertainty in medical machine learning
Kompa, B., Snoek, J., & Beam, A. L. (2021) · npj Digital Medicine · doi:10.1038/s41746-020-00367-3 · Cited by 514 · see citing works
Confidence-based classifier design
Li, M., & Sethi, I. K. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2006.01.010 · Cited by 61 · see citing works
- Authors
- Chow, C. K.
- Corresponding author
- Chow, C. K.
- Venue
- IRE Transactions on Electronic Computers
- Published
- 1957-12
- Volume
- EC-6
- Issue
- 4
- Pages
- 247-254
- ISSN
- 0367-9950 (ISSN-L)
- OpenAlex
- W2147947791
- Cited by
- 367
- References
- 4
- Citations by year
- 2026: 13 · 2025: 9 · 2024: 6 · 2023: 18 · 2022: 17 · 2021: 27 · 2020: 21 · 2019: 14 · 2018: 7 · 2017: 6 · 2016: 8 · 2015: 11 · 2014: 1 · 2013: 7 · 2012: 7
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IRE Transactions on Electronic Computers (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Physical Sciences › Engineering › Media Technology › Vehicle License Plate Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- character recognition, statistical decision theory, expected risk minimization, rejection rate, conditional probability density estimation, additive Gaussian noise, error rate, character style
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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