Hand alphabet recognition using morphological PCA and neural networks-Reference-Cited by-同舟云学术

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Hand alphabet recognition using morphological PCA and neural networks

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Container-title:IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)
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Author:

Lamari M.V.,Bhuiyan M.S.,Iwata A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6674/18002/00833533.pdf?arnumber=833533

Cited by 7 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. Novel Method for Recognizing Sign Language using Regularized Extreme Learning Machine;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

2. Combining Feature Selection with Neural Networks for Polish Sign Alphabet Recognition;2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2020-12

3. Recognition of Sign Language Alphabets and Numbers based on Hand Kinematics using A Data Glove;Procedia Computer Science;2018

4. Signer-independence finger alphabet recognition using discrete wavelet transform and area level run lengths;Journal of Visual Communication and Image Representation;2016-07

5. A Real Time Dactylology Based Feature Extractrion for Selective Image Encryption and Artificial Neural Network;Image Feature Detectors and Descriptors;2016

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