MCFC-R: a fuzzy connectionist model for color-blindness plate recognition

Yau Hwang Kuo, Jang Pong Hsu

Research output: Contribution to conferencePaper

12 Citations (Scopus)

Abstract

In this paper, a fuzzy connectionist model, called MCFC-R, is developed for the pattern recognition of color images. Recognition of color-blindness plates is adopted as experimental target. This model consists of a segmentation subnetwork, a recognition subnetwork, and a reconstruction process between the two subnetworks. The two subnetworks are derived from a modified connectionist fuzzy classifier model, called MCFC. Some experiments and analyses are also made in this paper. The experimental results show that the MCFC-R model has good performance on the recognition of color-blindness plates, even in a shift-variant, scale-variant, or little data-lost situation.

Original languageEnglish
Pages718-723
Number of pages6
Publication statusPublished - 1996
EventProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
Duration: 1996 Jun 31996 Jun 6

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
CityWashington, DC, USA
Period96-06-0396-06-06

All Science Journal Classification (ASJC) codes

  • Software

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    Kuo, Y. H., & Hsu, J. P. (1996). MCFC-R: a fuzzy connectionist model for color-blindness plate recognition. 718-723. Paper presented at Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .