Fingerprint verification: a comparison of three approaches

Md Shaik Sadi, Tanjila Kanij

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

3 Citations (Scopus)

Abstract

Fingerprint verification is used for person authentication. This has wide application from low risk to safety critical authentication systems. Research in this field has a long history. A number of approaches have been implemented for effective and efficient fingerprint verification. This article reports the results of quantitative comparison of different fingerprint verification approaches. We conducted an experiment of fingerprint verification using three approaches- biometric technique, Genetic algorithm and Back propagation neural network. The performance of the three approaches was assessed in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR) and execution time. Our comparative analysis reveals that for small number of images there is no significant difference in performance among the chosen approaches.

Original languageEnglish
Title of host publication2011 Defense Science Research Conference and Expo, DSR 2011
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Print)9781424492763
DOIs
Publication statusPublished - 23 Sept 2011
Externally publishedYes
Event2011 Defense Science Research Conference and Expo, DSR 2011 - Singapore, Singapore
Duration: 3 Aug 20115 Aug 2011

Conference

Conference2011 Defense Science Research Conference and Expo, DSR 2011
Country/TerritorySingapore
CitySingapore
Period3/08/115/08/11

Keywords

  • Biometric system
  • fingerprint verification
  • performance evaluation

Cite this