A Quality and Time Assessment of Binarization Algorithms
| Autor: | Darlisson Marinho de Jesus, Rodrigo Barros Bernardino, Rafael Dueire Lins |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
media_common.quotation_subject 010401 analytical chemistry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) 02 engineering and technology 01 natural sciences 0104 chemical sciences ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Algorithm media_common |
| Zdroj: | ICDAR |
| DOI: | 10.1109/icdar.2019.00232 |
| Popis: | Binarization algorithms are an important step in most document analysis and recognition applications. Many aspects of the document affect the performance of binarization algorithms, such as paper texture and color, noises such as the back-to-front interference, stains, and even the type and color of the ink. This work focuses on determining how each document characteristic impacts the time to process and the quality of the binarized image. This paper assesses thirty of the most widely used document binarization algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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