Fingerprint and speaker verification decisions fusion

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

20 Citations (Scopus)

Abstract

By exploiting the specialist capabilities of each classifier, a combined classifier may yield results which would not be possible in a single classifier. We propose to combine fingerprint and speaker verification decisions using a functional link network. This is to circumvent the non-trivial trial-and-error and iterative training effort as seen in backpropagation neural networks which cannot guarantee global optimal solutions. In many data fusion applications, as individual classifiers to be combined would have attained a certain level of classification accuracy, the proposed functional link network can be used to combine these classifiers by taking their outputs as the inputs to the network. The network is used to combine the fingerprint and speaker verification decisions with much improved receiver operating characteristics performance as compared to an optimal weighting method.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003
Pages626-631
Number of pages6
DOIs
Publication statusPublished - 2003
Event12th International Conference on Image Analysis and Processing, ICIAP 2003 - Mantova, Italy
Duration: 2003 Sep 172003 Sep 19

Publication series

NameProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003

Other

Other12th International Conference on Image Analysis and Processing, ICIAP 2003
CountryItaly
CityMantova
Period03/9/1703/9/19

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Fingerprint and speaker verification decisions fusion'. Together they form a unique fingerprint.

Cite this