Text/non-text classification of connected components in document images (2017)
- Authors:
- USP affiliated authors: HIRATA, NINA SUMIKO TOMITA - IME ; AGUILAR, FRANK DENNIS JULCA - IME
- Unidade: IME
- DOI: 10.1109/SIBGRAPI.2017.66
- Subjects: PROCESSAMENTO DE IMAGENS; MINERAÇÃO DE DADOS
- Keywords: text segmentation; connected component classification; convolutional neural network
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2017
- Source:
- Título: Proceedings
- Conference titles: Conference on Graphics, Patterns and Images (SIBGRAPI)
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
JULCA AGUILAR, Frank Dennis e MAIA, Ana L. L. M e HIRATA, Nina Sumiko Tomita. Text/non-text classification of connected components in document images. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.66. Acesso em: 23 jan. 2026. -
APA
Julca Aguilar, F. D., Maia, A. L. L. M., & Hirata, N. S. T. (2017). Text/non-text classification of connected components in document images. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2017.66 -
NLM
Julca Aguilar FD, Maia ALLM, Hirata NST. Text/non-text classification of connected components in document images [Internet]. Proceedings. 2017 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.66 -
Vancouver
Julca Aguilar FD, Maia ALLM, Hirata NST. Text/non-text classification of connected components in document images [Internet]. Proceedings. 2017 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.66 - Integration of shape context and neural networks for symbol recognition
- A general framework for the recognition of online handwritten graphics
- ExpressMatch: a system for creating hground-truthed datasets of online mathematical expressions
- Recognition of online handwritten mathematical expressions using contextual information
- The use of high resolution images in morphological operator learning
- Morphological operator design from training data
- Automatic labeling of handwritten mathematical symbols via expression matching
- Fast QR code detection in arbitrarily acquired images
- Subexpression and dominant symbol histograms for spatial relation classification in mathematical expressions
- Order statistic filters: minimal collection of minimum weight vectors
Informações sobre o DOI: 10.1109/SIBGRAPI.2017.66 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 2865714.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
