Application of an artificial immune system for visual pattern recognition
Mikherskii R.M.

 

V.I. Vernadsky Crimean Federal University, Simferopol, Russia

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Abstract:
The suitability of artificial immune systems for recognizing visual patterns is discussed. A new algorithm and software implementation of an artificial immune system have been proposed based on which real-time pattern recognition can be done using a Web camera. It has been shown experimentally that this system can be successfully used to recognize both human faces and any other objects. An issue of using an artificial immune system in high-performance parallel computing systems is discussed. The advantages of the developed artificial immune system include the ability to teach the system a new image in a fast manner at any moment during run-time. These advantages open up a possibility of creating artificial intelligence systems for real-time learning.

Keywords:
an artificial immune system, visual pattern recognition, parallel computing, artificial intelligence.

Citation:
Mikherskii RM. Application of an artificial immune system for visual pattern recognition. Computer Optics 2018; 42(1): 113-117. DOI: 10.18287/2412-6179-2018-42-1-113-117.

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