Cargando…
Robust Combined Binarization Method of Non-Uniformly Illuminated Document Images for Alphanumerical Character Recognition
Image binarization is one of the key operations decreasing the amount of information used in further analysis of image data, significantly influencing the final results. Although in some applications, where well illuminated images may be easily captured, ensuring a high contrast, even a simple globa...
Autores principales: | Michalak, Hubert, Okarma, Krzysztof |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287981/ https://www.ncbi.nlm.nih.gov/pubmed/32455623 http://dx.doi.org/10.3390/s20102914 |
Ejemplares similares
-
Improvement of Image Binarization Methods Using Image Preprocessing with Local Entropy Filtering for Alphanumerical Character Recognition Purposes
por: Michalak, Hubert, et al.
Publicado: (2019) -
Improved Two-Step Binarization of Degraded Document Images Based on Gaussian Mixture Model
por: Krupiński, Robert, et al.
Publicado: (2020) -
Effective and fast binarization method for combined degradation on ancient documents
por: Saddami, Khairun, et al.
Publicado: (2019) -
Spectrum decomposition in Gaussian scale space for uneven illumination image binarization
por: Long, JianWu, et al.
Publicado: (2021) -
An alphanumeric classification of osteoporotic pelvic ring injuries
por: Krappinger, Dietmar, et al.
Publicado: (2020)