Fingerprint pattern recognition for medical uses. A frequency domain approach

F. You, Y. Q. Shi, P. Engler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this research is to provide a method to automatically classify fingerprints into three groups: whorl, loop and arch, which can help medical scientists to study the relationship between fingerprint patterns and medical disorders, such as women breast cancer [4]. In the research, a frequency domain approach was developed, which uses the feature of Fourier spectrum. That is, prominent peaks in the spectrum give the principal direction of fingerprint patterns. Using the above feature, we can obtain the principal direction of every subregion. The pattern of the whole image then can be determined. The frequency domain approach allows one to classify whorl faster and is less sensitive to the quality of fingerprint image, but it does not easily allow for the classification of arch and loop when triradii areas are too small.

Original languageEnglish (US)
Title of host publication1993 IEEE 19th Annual Northeasrt Bioengineering Conference
PublisherPubl by IEEE
Pages176-177
Number of pages2
ISBN (Print)0780309251
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference - Newark, NJ, USA
Duration: Mar 18 1993Mar 19 1993

Publication series

NameBioengineering, Proceedings of the Northeast Conference

Other

OtherProceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference
CityNewark, NJ, USA
Period3/18/933/19/93

All Science Journal Classification (ASJC) codes

  • Bioengineering

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