Abstract
In this paper, we propose a neural network system for verifying whether a mouth or eyes can be extracted from an image area by Back Propagation (BP). It is necessary to test the proposed system in a noisy environment. In this paper, the model of neural network system for recognizing a mouth is based on the function of peripheral vision, In our research, a mouth has distinct properties of brightness in the right corner of the mouth, the left corner of the mouth, the tip of nose, and the nostril. Furthermore we discovered that humans commonly observe these properties of the mouth regardless of the brightness of lighting, different colors of the mouth, or different form of the mouth. By using these features, we designed an associative memory neural network for the verification.
Original language | English |
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Title of host publication | Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 995-1001 |
Number of pages | 7 |
Volume | 2 |
ISBN (Electronic) | 0780354893, 9780780354890 |
DOIs | |
Publication status | Published - 1999 Jan 1 |
Event | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States Duration: 1999 Jul 10 → 1999 Jul 15 |
Other
Other | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
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Country/Territory | United States |
City | Honolulu |
Period | 99/7/10 → 99/7/15 |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Materials Science (miscellaneous)