Papers fingerprint verification
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CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models
Despite providing superior performance, open-source large language models (LLMs) are vulnerable to abusive usage. To address this issue, recent works propose LLM fingerprinting methods to identify the specific source LLM…
Contrastive Learningfingerprint verificationImproving fingerprint presentation attack detection by an approach integrated into the personal verification stage
Presentation Attack Detection (PAD) systems are usually designed independently of the fingerprint verification system. While this can be acceptable for use cases where specific user templates are not predetermined, it re…
fingerprint verificationJoint Identity Verification and Pose Alignment for Partial Fingerprints
Currently, portable electronic devices are becoming more and more popular. For lightweight considerations, their fingerprint recognition modules usually use limited-size sensors. However, partial fingerprints have few ma…
fingerprint verificationPose EstimationDeep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?
The rapid evolution of high-end smartphones with advanced high-resolution cameras has resulted in contactless capture of fingerprint biometrics that are more reliable and suitable for verification. Similar to other biome…
fingerprint verificationEvaluation of direct attacks to fingerprint verification systems
The vulnerabilities of fingerprint-based recognition systems to direct attacks with and without the cooperation of the user are studied. Two different systems, one minutiae-based and one ridge feature-based, are evaluate…
fingerprint verificationCombining multiple matchers for fingerprint verification: A case study in biosecure network of excellence
We report on experiments for the fingerprint modality conducted during the First BioSecure Residential Workshop. Two reference systems for fingerprint verification have been tested together with two additional non-refere…
fingerprint verificationOn the vulnerability of fingerprint verification systems to fake fingerprint attacks
A new method to generate gummy fingers is presented. A medium-size fake fingerprint database is described and two different fingerprint verification systems are evaluated on it. Three different scenarios are considered i…
fingerprint verificationA Comparative Study of Fingerprint Image-Quality Estimation Methods
One of the open issues in fingerprint verification is the lack of robustness against image-quality degradation. Poor-quality images result in spurious and missing features, thus degrading the performance of the overall s…
fingerprint verificationImage Quality EstimationFingerprint recognition with embedded presentation attacks detection: are we ready?
The diffusion of fingerprint verification systems for security applications makes it urgent to investigate the embedding of software-based presentation attack detection algorithms (PAD) into such systems. Companies and i…
fingerprint verificationFingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
Although most fingerprint matching methods utilize minutia points and/or texture of fingerprint images as fingerprint features, the frequency spectrum is also a useful feature since a fingerprint is composed of ridge pat…
Data Augmentationfingerprint verificationAre spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms.…
fingerprint verificationAnalysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems
Fingerprint Liveness detection, or presentation attacks detection (PAD), that is, the ability of detecting if a fingerprint submitted to an electronic capture device is authentic or made up of some artificial materials, …
fingerprint verificationStatistical Descriptors-based Automatic Fingerprint Identification: Machine Learning Approaches
Identification of a person from fingerprints of good quality has been used by commercial applications and law enforcement agencies for many years, however identification of a person from latent fingerprints is very diffi…
BIG-bench Machine Learningfingerprint verificationAlignment-Free Cross-Sensor Fingerprint Matching based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular matching). There is a remarkable decrease in …
fingerprint verificationBiometric Recognition System (Algorithm)
Fingerprints are the most widely deployed form of biometric identification. No two individuals share the same fingerprint because they have unique biometric identifiers. This paper presents an efficient fingerprint verif…
fingerprint verificationImage EnhancementFixed-length Bit-string Representation of Fingerprint by Normalized Local Structures
In this paper, we propose a method to represent a fingerprint image by an ordered, fixed-length bit-string providing improved accuracy performance, faster matching time and compressibility. First, we devise a novel minut…
Clusteringfingerprint verificationA novel hybrid score level and decision level fusion scheme for cancelable multi-biometric verification
In spite of the benefits of biometric-based authentication systems, there are few concerns raised because of the sensitivity of biometric data to outliers, low performance caused due to intra-class variations and privacy…
fingerprint verificationReal time ridge orientation estimation for fingerprint images
Fingerprint verification is an important bio-metric technique for personal identification. Most of the automatic verification systems are based on matching of fingerprint minutiae. Extraction of minutiae is an essential …
fingerprint verificationFingerprint Extraction Using Smartphone Camera
In the previous decade, there has been a considerable rise in the usage of smartphones.Due to exorbitant advancement in technology, computational speed and quality of image capturing has increased considerably. With an i…
fingerprint verificationImage EnhancementSEVEN: Deep Semi-supervised Verification Networks
Verification determines whether two samples belong to the same class or not, and has important applications such as face and fingerprint verification, where thousands or millions of categories are present but each catego…
fingerprint verification