A numeral character recognition using the PCA mixture model-Reference-Cited by-同舟云学术

A numeral character recognition using the PCA mixture model

Published:2002-01 Issue:1-3 Volume:23 Page:103-111
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Kim Hyun-Chul,Kim Daijin,Yang Bang Sung

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference13 articles.

1. Adaptive Control Processes: A Guided Tour;Bellan,1961

2. Blake, C., Merz, C., 1998. UCI repository of machine learning databases. Department of Information and Computer Science, University of California, Irvine, CA

3. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. Roy. Statist. Soc. Ser. B,1977

4. Pattern Classification and Scene Analysis;Duda,1974

5. Modeling the manifolds of images of handwritten digits;Hinton;IEEE Trans. Neural Networks,1997

Cited by 18 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. Fast Training and Real-Time Classification Algorithm Based on Principal Component Analysis and F-Transform;2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS);2018-12

2. Graphological Analysis and Identification of Handwritten Texts;Intelligent Systems Reference Library;2017-10-27

3. A new method for Arabic/Farsi numeral data set size reduction via modified frequency diagram matching;Kybernetes;2014-04-29

4. A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals;Journal of Applied Mathematics;2014

5. A New Dataset Size Reduction Approach for PCA-Based Classification in OCR Application;Mathematical Problems in Engineering;2014