Detection and Prevention of Fingerprint Altering / Spoofing Based On Pores (Level-3) With The Help of Multimodal Biometrics
نویسنده
چکیده
The concept of spoofing focus on altering fingerprint, which become a serious issue concern of fingerprint recognition system. This project work brings a new approach to sense and detect fake fingers, based on the analysis of fingerprint pores and its extraction. Making fake fingerprint now days an open matter for identifying fingerprint systems. In this case submitting an artificial fingerprint clone from a genuine user. Present sensors provide an image which is then processed as a “true” fingerprint. this i s socalled 3rd-level features, namely, pores, which are visible in high-resolution fingerprint image mostly 500/1000 ppi, have been used for matching. In this paper, we propose to analyze pores location for characterizing the “liveness” of fingerprints. There are several features identifying a fingerprint which is Level-1(pattern), Level-2 Minutia, Lvel-3(Pores and ridge counters). AFIS (Automated Fingerprint Identification System currently uses level 1 and level 2 features. The 3 level features allow you to scan 1000 ppi and extract all features along with pores and ridges using gabor and transform filters. It also uses the dual matching logic where we can user the combination of finger + face/iris to authenticate or prevent spoofing.
منابع مشابه
Robust multimodal face and fingerprint fusion in the presence of spoofing attacks
Anti-spoofing is attracting growing interest in biometrics, considering the variety of fake materials and new means to attack biometric recognition systems. New unseen materials continuously challenge state-of-the-art spoofing detectors, suggesting for additional systematic approaches to target anti-spoofing. By incorporating liveness scores into the biometric fusion process, recognition accura...
متن کاملAn Intelligent Approach for Anti-Spoofing in a Multimodal Biometric System
While multimodal biometric systems are considered to be more robust than unimodal ones but traditional fusion rules are more sensitive to spoofing attempts. The proposed system is designed to overcome spoofing in worst-case scenario where impostor was able to create fake biometric traits of both face and fingerprint modalities in the presented multimodal biometric system. The paper investigates...
متن کاملMultimodal Biometric System Using Iris - Fingerprint: An Overview
Biometric recognition is automated recognition of individual based on the physiological and behavioral characteristics. Unimodal biometrics are facing problems like noisy data, intra class variation, inter class variation, spoofing attack etc. These limitations can be solved by using multimodal biometrics. Comparing to unimodal, multimodal biometric systems are performing better. A multimodal b...
متن کاملQuality-Based Score-level Fusion for Secure and Robust Multimodal Biometrics-based Authentication on Consumer Mobile Devices
Biometric authentication is a promising approach to access control in consumer mobile devices. Most current mobile biometric authentication techniques, however, authenticate people based on a single biometric modality (e.g., iPhone 6 uses only fingerprints), which limits resistance to trait spoofing attacks and ability to accurately identify users under uncontrolled conditions in which mobile d...
متن کاملFusion Levels in Multimodal Biometric Systems – A Review
Biometrics is an application area in which different biological traits of a person is taken as input for person identification or authentication. This is highly needed for security reasons. Unimodal biometrics is easy to implement as it uses only one trait or modality of a person but it has many drawbacks like spoofing, non-universality, etc. Multimodal biometrics uses more than one modality of...
متن کامل