Off-Line Handwritten Odia Character Recognition Using DWT and PCA-Reference-Cited by-同舟云学术

Off-Line Handwritten Odia Character Recognition Using DWT and PCA

Published:2018 Issue: Volume: Page:187-195
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Sethy Abhisek,Patra Prashanta Kumar,Nayak Deepak Ranjan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6872-0_18

Reference17 articles.

1. Plamondon, R., Srihari, S.N.: On-line and off-line handwritten recognition: a comprehensive survey. IEEE Trans. PAMI 22, 62–84 (2000)

2. Pal, U., Jayadevan, R., Sharma, N.: Handwriting recognition in indian regional scripts: a survey of offline techniques. ACM Trans. Asian Lang. Inf. Process. 11(1), 1–35 (2012)

3. Patra, P.K., Nayak, M., Nayak, S.K., Gabbak, N.K.: Probabilistic neural network for pattern classification. In: International Joint Conference on Neural Networks, pp. 1200–1205 (2002)

4. Pal, U., Wakabayashi, T., Kimura, F.: A system for off-line oriya handwritten character recognition using curvature feature. In: 10th International Conference on Information Technology, pp. 227–229 (2005)

5. Pratt, W.K.: Digital Image Processing. Willey (2007)

Cited by 13 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. A time efficient offline handwritten character recognition using convolutional extreme learning machine;The Imaging Science Journal;2023-06-24

2. Development of a Benchmark Odia Handwritten Character Database for an Efficient Offline Handwritten Character Recognition with a Chronological Survey;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-06-17

3. A Hybrid System for Handwritten Character Recognition with High Robustness;Traitement du Signal;2022-04-30

4. Recognition of handwritten characters from Devanagari, Bangla, and Odia languages using transfer-learning-based VGG-16 networks;The Imaging Science Journal;2022-02-17

5. Offline Odia handwritten character recognition with a focus on compound characters;Multimedia Tools and Applications;2022-02-16