Algorithms for a novel touchless bimodal palm biometric system

Author

Nikisins, Olegs ; Eglitis, Teodors ; Pudzs, Mihails ; Greitans, Modris

Author_Institution

Inst. of Electron. & Comput. Sci., Riga, Latvia

fYear

2015

fDate

19-22 May 2015

Firstpage

436

Lastpage

443

Abstract

The paper introduces the combination of algorithms for possibly the first bimodal biometric system capable of touch-less capturing of two biometric parameters, palm veins and palm creases, synchronously with a single image sensor. The architecture of the proposed system is based on the Detection, Alignment and Recognition pipeline. The ROI detection and alignment stages are simplified with efficient combination of hardware (lighting sources) and software. A new feature descriptor, namely Histogram of Vectors is proposed in the recognition stage. Since the capturing of images requires special conditions, the database including images of 100 individuals and ground-truth data is introduced. The analysis of performance of the system utilizes the database leading to detailed understanding of the error propagation in the automatic recognition pipeline.

Keywords

feature extraction; image capture; image sensors; object detection; palmprint recognition; vectors; ROI detection; alignment stages; automatic recognition pipeline; biometric parameters; error propagation; feature descriptor; histogram of vectors; image capturing; image sensor; palm creases; palm veins; recognition stage; system architecture; touch-less capturing; touchless bimodal palm biometric system; Biomedical imaging; Biometrics (access control); Databases; Feature extraction; Histograms; Image color analysis; Veins;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics (ICB), 2015 International Conference on

Conference_Location

Phuket

Type

conf

DOI

10.1109/ICB.2015.7139107

Filename

7139107