Publisher
Springer Nature Singapore
Reference14 articles.
1. Reul C, Springmann U, Wick C, Puppe F (2018) Improving OCR accuracy on early printed books by utilizing cross fold training and voting. In: Proceedings of the 2018 13th IAPR international workshop on document analysis systems (DAS), Vienna, Austria, 24–27 April 2018, pp 423–428
2. Chigogora K, Fleming PD III, Sharma A (2005) Optimizing proofing in a digital work flow. In: Proceedings of the 57th TAGA annual technical conference, Toronto, Ontario
3. Sporici D, Cușnir E, Boiangiu CA (2020) Improving the accuracy of Tesseract 4.0 OCR engine using convolution-based preprocessing. Symmetry 12(5):715
4. Smith R (2007) An overview of the Tesseract OCR engine. In: Proceedings of the ninth international conference on document analysis and recognition (ICDAR 2007), vol 2, Parana, Brazil, 23–26 Sept 2007, pp 629–633
5. Patel C, Patel A, Patel D (2012) Optical character recognition by open source OCR tool tesseract: a case study. Int J Comput Appl 55:50–56