Authors:
Luiz Antônio Pereira Neves
;
Dionei José Müller
;
Fellipe Alexandre
;
Pedro Machado Guillen Trevisani
;
Pedro Santos Brandi
and
Rafael Junqueira
Affiliation:
Federal University of Paraná - UFPR, Brazil
Keyword(s):
Image Processing, Biometrics, Local Binary Pattern, Chi-square Comparison, Texture Histograms.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Features Extraction
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image Registration
;
Segmentation and Grouping
Abstract:
This paper presents a technique for biometric identification based on image acquisition of the palm of the human hand. A computer system called Palm Print Authentication System (PPAS) was implemented using the technique exposed, it identifies human hand palm by processing image data through texture identification and geometrical data by employing the Local Binary Pattern (LBP) method. The methodology proposed has four steps: image acquisition; image pre-processing (normalization), and segmentation for biometric extraction and hand recognition. The technique has been tested utilizing 50 different images and the tests have proven promising results, showing that the approach is not only robust but also quite efficient.