The Research of Face Verification Based on Perceptron Algorithm

Abstract:

In recent years, as the need of counter terrorism and security, countries have increased investment in the security field and human identification is the core issue of security. This paper use Perceptron Algorithm Method to verify human face with the ORL face database. The results show that when no fresh face appears, the accuracy rate is 99.67% and decreases to 98.14% with fresh face. Later, its performance in reality is tested by importing a new class from the camera. The result is 7 (of 10) photos is verified correctly and 3(of 10) can not judge (no wrong verified).

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2746-2749
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2746
• Online since: March 2014
• Authors: Hai Kuo Gao*, Sheng Nan Ma
• Keywords: Face Verification, Perceptron Algorithm

References

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