A supervised algorithm with a new differentiated-weighting scheme for identifying the author of a handwritten text
| Autor: | Edgardo M. Felipe-Riveron, Edith C. Herrera-Luna, Salvador Godoy-Calderon |
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| Rok vydání: | 2011 |
| Předmět: |
Scheme (programming language)
business.industry Computer science Feature extraction Machine learning computer.software_genre Weighting Statistical classification Artificial Intelligence Simple (abstract algebra) Signal Processing Pattern recognition (psychology) Computer Vision and Pattern Recognition Artificial intelligence business computer Software computer.programming_language |
| Zdroj: | Pattern Recognition Letters. 32:1139-1144 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2011.03.002 |
| Popis: | In this paper a new approach is presented for tackling the problem of identifying the author of a handwritten text. This problem is solved with a simple, yet powerful, modification of the so called ALVOT family of supervised classification algorithms with a novel differentiated-weighting scheme. Compared to other previously published approaches, the proposed method significantly reduces the number and complexity of the text-features to be extracted from the text. Also, the specific combination of line-level and word-level features used introduces an eclectic paradigm between texture-related and structure-related approaches. |
| Databáze: | OpenAIRE |
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