Development of genetic algorithm embedded KNN for fingerprint recognition

H. R. Sudarshana Reddy, N. V. Subba Reddy

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A Kohonen self-organizing neural network embedded with genetic algorithm for fingerprint recognition is proposed in this paper. The genetic algorithm is embedded to initiate the Kohonen classifers. By the proposed approach, the neural network learning performance and accuracy are greatly enhanced. In addition, the genetic algorithm can successfully avoid the neural network from being trapped in a local minimum. The proposed method was tested for the recognition of fingerprints. The results were promising to applications.

Original languageEnglish
Pages (from-to)9-16
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3285
Publication statusPublished - 01-12-2004

Fingerprint

Fingerprint Recognition
Genetic algorithms
Genetic Algorithm
Neural networks
Neural Networks
Self-organizing Neural Network
Fingerprint
Local Minima

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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title = "Development of genetic algorithm embedded KNN for fingerprint recognition",
abstract = "A Kohonen self-organizing neural network embedded with genetic algorithm for fingerprint recognition is proposed in this paper. The genetic algorithm is embedded to initiate the Kohonen classifers. By the proposed approach, the neural network learning performance and accuracy are greatly enhanced. In addition, the genetic algorithm can successfully avoid the neural network from being trapped in a local minimum. The proposed method was tested for the recognition of fingerprints. The results were promising to applications.",
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