Subimage registration based on candidate selection and multiple correspondences CTION AND MULTIPLE CORRESPONDENCES

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Enginyeria Informàtica, Seguretat Informàtica i Sistemes Intel·ligents

Title in different languages: SUBIMAGE REGISTRATION BASED ON CANDIDATE SELECTION AND MULTIPLE CORRESPONDENCES

Abstract: SUBIMAGE REGISTRATION BASED ON CANDIDATE SELECTION AND MULTIPLE CORRESPONDENCES In some fields like forensic research, experts demand that a found sample of an individual can be matched with its full counterpart contained on a database. This found sample might present several characteristics that make this matching more difficult to perform, such as distortion and most importantly, a very small size. Several solutions have been presented intending to solve this problem, however, big computational effort or low recognition rate is obtained. In this master thesis, we present a fast, simple and efficient method to relate a small sample of a partial palmprint to a full one using elemental optimization processes and a voting mechanic. Experimentation shows that our method performs a higher recognition rate than the state of the art Hough method, when trying to identify palmprint samples with a radius as small as 2.64 cm.

Subject: Biotecnologia

Academic year: 2013-2014

Language: Anglès

Work's public defense date: 2014-06-23

Subject areas: Computer engineering

Student: Amado Cepeda, Victoria

Work's codirector: Moreno García, Carlos Francisco

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2014-07-17

Keywords: Biometrics Systems, Palmprint, matching

Title in original language: SUBIMAGE REGISTRATION BASED ON CANDIDATE SELECTION AND MULTIPLE CORRESPONDENCES

Project director: Serratosa, Francesc