Author:
Dey Raghunah,Chandra Balabantaray Rakesh
Reference22 articles.
1. C.W. Jian et al., Embedded character recognition system using random forest algorithm for IC inspection system.J. Telecommunication Electronic Comput. Eng. (JTEC) 10(1–3), 121–125 (2018)
2. P. Krishnan, C. V. Jawahar. Hwnet v2: An efficient word image representation for handwritten documents. Int. J. Document Anal. Recogn. (IJDAR) 22(4), 387–405 (2019)
3. W. Homenda, W. Lesinski, Features selection in character recognition with random forest classifier, in International Conference on Computational Collective Intelligence (Springer, Berlin, 2011)
4. M. Kumar, R.K. Sharma, M.K. Jindal, Efficient feature extraction techniques for offline handwritten Gurmukhi character recognition. Natl. Acad. Sci. Lette. 37(4), 381–391 (2014)
5. S. Benchaou, O. El Melhaoui, Features extraction for offline handwritten character recognition, in Europe and MENA Cooperation Advances in Information and Communication Technologies (Springer, Cham, 2017), pp. 209–217
Cited by
5 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