Enhanced Ensemble Technique for Optical Character Recognition

Author:

Habeeb Imad QasimORCID,Al-Zaydi Zeyad QasimORCID,Abdulkhudhur Hanan NajmORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Habeeb, I.Q., Yusof, S.A., Ahmad, F.B.: Two bigrams based language model for auto correction of arabic OCR errors. Int. J. Digit. Content Technol. Appl. 8(1), 72–80 (2014)

2. Habeeb, I.Q.: Hybrid model of post-processing techniques for arabic optical character recognition. Universiti Utara Malaysia, Kedah, Malaysia (2016)

3. Ma, D., Agam, G.: A super resolution framework for low resolution document image OCR. In: Proceedings of the International Society for Optical Engineering (SPIE) on Document Recognition and Retrieval XX. International Society for Optics and Photonics, California, USA (2013)

4. Ma, D., Agam, G.: Lecture video segmentation and indexing. In: Proceedings of the International Society for Optical Engineering (SPIE) on Document Recognition and Retrieval XIX. International Society for Optics and Photonics, California, USA (2012)

5. Habeeb, I.Q., Yusof, S.A., Ahmad, F.B.: Improving optical character recognition process for low resolution images. Int. J. Adv. Comput. Technol. 6(3), 13–21 (2014)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Three N-grams Based Language Model for Auto-correction of Speech Recognition Errors;Communications in Computer and Information Science;2021

2. SELECTION TECHNIQUE FOR MULTIPLE OUTPUTS OF OPTICAL CHARACTER RECOGNITION;Eurasian Journal of Mathematical and Computer Applications;2020

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