Multi-resolution classification trees in OCR design (2001)
- Authors:
- USP affiliated authors: BARRERA, JUNIOR - IME ; HIRATA, NINA SUMIKO TOMITA - IME ; TERADA, ROUTO - IME
- Unidade: IME
- DOI: 10.1109/SIBGRAPI.2001.963038
- Subjects: RECONHECIMENTO DE CARACTERES ÓPTICOS; RECONHECIMENTO DE PADRÕES; MATEMÁTICA DA COMPUTAÇÃO
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2001
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Computer Graphics and Image Processing
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BRUN, Marcel et al. Multi-resolution classification trees in OCR design. 2001, Anais.. Los Alamitos: IEEE, 2001. Disponível em: https://doi.org/10.1109/SIBGRAPI.2001.963038. Acesso em: 13 out. 2024. -
APA
Brun, M., Barrera, J., Hirata, N. S. T., Trepode, N. W., Dantas, D. O., & Terada, R. (2001). Multi-resolution classification trees in OCR design. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2001.963038 -
NLM
Brun M, Barrera J, Hirata NST, Trepode NW, Dantas DO, Terada R. Multi-resolution classification trees in OCR design [Internet]. Proceedings. 2001 ;[citado 2024 out. 13 ] Available from: https://doi.org/10.1109/SIBGRAPI.2001.963038 -
Vancouver
Brun M, Barrera J, Hirata NST, Trepode NW, Dantas DO, Terada R. Multi-resolution classification trees in OCR design [Internet]. Proceedings. 2001 ;[citado 2024 out. 13 ] Available from: https://doi.org/10.1109/SIBGRAPI.2001.963038 - Automatic programming of morphological machines by PAC learning
- The incremental splitting of intervals algorithm for the design of binary image operators
- Boosting OCR classifier by optimal edge noise filtering
- An OCR based on Mathematical Morphology
- Text segmentation by automatically designed morphological operators
- Automatic programming of MMachs's for OCR*
- Automatic programming of binary morphological machines by pac learning
- Iterative design of morphological binary image operators
- Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory
- A unifying view for stack filter design based on graph search methods
Informações sobre o DOI: 10.1109/SIBGRAPI.2001.963038 (Fonte: oaDOI API)
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