COI code: IDS03_043
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Fraud detection in the fingerprint based on data mining combination techniquesMansourehsadat Mousavi - Mousavi
Hosein Jafarkarimi - Department of Computer ، Damavand Branch ،Islamic Azad University، Damavand ، Iran
Abstract:In this paper, we make an effort to present a method based on Data Mining techniques to distinguish fake and live fingerprints in highly accurate authentication systems. In addition, the types of fraud material that are used in the manufacture of fingerprints was considered so that Based on the type of material, be assessed to discover knowledge about the sensitivity of the sensors based on materials. The material used in this study include gelatin, Eco-Flex, wood glue and latex. The reviewed steps in this research are as followed: First, in the feature extraction stage, we have used methods based on statistical formulae in image histogram. In the next step, the Hybrid algorithm based on support vector machine and decision tree were used. According to the results of this study, fake fingerprints which was made with gelatin, with the lowest errorand latex, with the maximum error was recognized.
Keywords:Biometric, fingerprint, support vector machine, decision tree
COI code: IDS03_043
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Mousavi, Mansourehsadat & Hosein Jafarkarimi, 2018, Fraud detection in the fingerprint based on data mining combination techniques, The Third International Conference on Intelligent Decision Science, تهران, انجمن سيستم هاي فازي ايران - دانشگاه آزاداسلامي واحد علوم تحقيقات, https://www.civilica.com/Paper-IDS03-IDS03_043.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Mousavi, Mansourehsadat & Hosein Jafarkarimi, 2018)
Second and more: (Mousavi & Jafarkarimi, 2018)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Improving Ant Colony Optimization for Brain MRI Image Segmentation and Brain Tumor Diagnosis
- A Novel Evolutionary Algorithm For Block-Based Neural Network Training
- Application of Multi-Objective optimization algorithm and Artificial Neural Networks at machining process
- A New Daily Electrical Load Forecasting Model Based on Pattern Recognition and Forecasting Abilities of Self-Organizing-Map ANN A Case Study on Iran Power Network
- Rapid Off-line Signature Verification Based on Signature Envelope and Adaptive Density Partitioning
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.