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Abstract

Pattern recognition is a process to classify types of objects appearing in the input pattern. In computer
science pattern recognition is the imposition of identity on input data, such as speech, images, or a stream of
text, by the recognition and delineation of patterns it contains and their relationships. In this paper, pattern
recognition is applied in Fingerprint Recognition system, face recognition system and lastly Speech
recognition system. Efficient genetic algorithms are applied in recognizing fingerprints, face detection and
recognition and speech recognition and they are compared with traditional methods for their efficiency. In
this paper Section 1 gives the introduction to pattern recognition system. Section 2 describes various
traditional and genetic algorithms techniques applied to Fingerprint Recognition System, Face Recognition
System and Speech recognition System. Section 3 concludes the use of genetic algorithms over traditional
techniques for pattern recognition system.

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How to Cite
Manpreet Kaur. (2017). A Review on Pattern Recognition Using Genetic Algorithms. International Journal of Emerging Trends in Science and Technology, 4(05), 5213-5220. Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/1117