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Fingerprint classification using one-vs-all support vector machines dynamically ordered with naive Bayes classifiers
TLDR
A novel method in which the SVMs are generated with the one-vs-all (OVA) scheme and dynamically ordered with nai@?ve Bayes classifiers to break the ties that frequently occur when working with multi-class classification systems that use OVA SVMs is proposed. Expand
A Novel Evolutionary Approach to Image Enhancement Filter Design: Method and Applications
  • J. Hong, S. Cho, U. Cho
  • Computer Science, Medicine
  • IEEE Transactions on Systems, Man, and…
  • 1 December 2009
TLDR
A novel approach based on the genetic algorithm that optimizes a set of standard filters by determining their types and order is proposed, which is able to manage various types of noise factors. Expand
Evolutionary Image Enhancement for Impulsive Noise Reduction
TLDR
A novel method is proposed that uses the genetic algorithm to find a filter set for reducing impulsive noises in images and it does not require any expert knowledge to find the type and order of filters for a given domain. Expand
Evolutionary Singularity Filter Bank Optimization for Fingerprint Image Enhancement
TLDR
This paper proposes a method that uses the genetic algorithm to find those filters for superior performance of singularity extraction that does not need any expert knowledge to find the type and order of filters for the target domain. Expand
Automatic Fingerprints Image Generation Using Evolutionary Algorithm
TLDR
A novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm is presented, which includes similar characteristics of those collected from a corresponding real environment. Expand
Environmentally realistic fingerprint-image generation with evolutionary filter-bank optimization
TLDR
A novel method that generates fingerprint images automatically from only a few training samples by using the evolutionary algorithm is presented, indicating the usefulness of the method. Expand
Comparison of Hybrid and Classical Metaheuristic for Automatic Image Enhancement
Hybrid metaheuristic, an advancement over classical metaheuristic, provides a more effective search methodology. It combines several metaheuristic algorithms into one optimization mechanism. In thisExpand
Fingerprint Image Generation using Filter Combination based on the Genetic Algorithm
TLDR
A novel method that generates fingerprint images automatically from only a few training samples by using the genetic algorithm is proposed that includes similar characteristics of those collected from the corresponding real environment. Expand
Automatic Fingerprints Image Generation Using Evolutionary Algorithm
TLDR
A novel method that generates various fingerprint images automatically from only a few training samples by using the genetic algorithm is presented, which includes similar characteristics of those collected from the corresponding real environment. Expand
Effective Fingerprint Classification using Subsumed One-Vs-All Support Vector Machines and Naive Bayes Classifiers
TLDR
A novel method in which SVMs are generated with the one-vs-all (OVA) scheme and dynamically ordered with Bayes classifiers is proposed, which has effectively managed tie problems usually occurred in applying OVA SVMs to multi-class classification. Expand