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Fingerprint recognition by euclidean distance

  • Chomtip Pornpanomchai
  • , Apiradee Phaisitkulwiwat
  • Mahidol University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

This research proposed the fingerprint recognition by euclidean distance method. the system uses a technique of image processing, which consists of 3 major components, which are: 1) preprocessing component, the module that reduces the noise of the original images and adjusts the sharpness of the lined pattern that is the components of the fingerprint, 2) feature extraction component, the module that defines the position of the core point used as a reference point and finds out the position of the bifurcation points, and 3) fingerprint recognition component, the module to compare the shape context of training and testing data sets. based on the experimental results, the system has acceptable accuracy with average access time of around 19.68 seconds per image.

Original languageEnglish
Title of host publication2nd International Conference on Computer and Network Technology, ICCNT 2010
Pages437-441
Number of pages5
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computer and Network Technology, ICCNT 2010 - Bangkok, Thailand
Duration: 23 Apr 201025 Apr 2010

Publication series

Name2nd International Conference on Computer and Network Technology, ICCNT 2010

Conference

Conference2nd International Conference on Computer and Network Technology, ICCNT 2010
Country/TerritoryThailand
CityBangkok
Period23/04/1025/04/10

Keywords

  • Euclidean distance
  • Fingerprint recognition

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