[go: up one dir, main page]

Kulkarni et al., 2017 - Google Patents

Efficient approach determination for fake biometric Detection

Kulkarni et al., 2017

Document ID
16687374688813662610
Author
Kulkarni N
Sankpal L
Publication year
Publication venue
2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)

External Links

Snippet

Biometric systems provide one of the best options for implementing security requirements however they are susceptible to some of the threats such as fraudulent attacks. A reliable and efficient solution is required to overcome this risk. Liveness detection is one of the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00087—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00885—Biometric patterns not provided for under G06K9/00006, G06K9/00154, G06K9/00335, G06K9/00362, G06K9/00597; Biometric specific functions not specific to the kind of biometric
    • G06K9/00899—Spoof detection
    • G06K9/00906—Detection of body part being alive
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00013—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00107—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06K9/00114—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00067—Preprocessing; Feature extraction (minutiae)
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
    • G06K9/00604—Acquisition

Similar Documents

Publication Publication Date Title
Tome et al. On the vulnerability of finger vein recognition to spoofing
Galbally et al. Evaluation of direct attacks to fingerprint verification systems
Buciu et al. Biometrics systems and technologies: A survey
Pravallika et al. SVM classification for fake biometric detection using image quality assessment: Application to iris, face and palm print
EP2148303A1 (en) Vein pattern management system, vein pattern registration device, vein pattern authentication device, vein pattern registration method, vein pattern authentication method, program, and vein data structure
EP2148295A1 (en) Vein pattern management system, vein pattern registration device, vein pattern authentication device, vein pattern registration method, vein pattern authentication method, program, and vein data structure
Krishnan et al. Finger vein pulsation-based biometric recognition
Vega et al. Biometric personal identification system based on patterns created by finger veins
Rogmann et al. Liveness detection in biometrics
Gottemukkula et al. Method for using visible ocular vasculature for mobile biometrics
EP2148302A1 (en) Vein pattern management system, vein pattern registration device, vein pattern authentication device, vein pattern registration method, vein pattern authentication method, program, and vein data structure
Ibrahim et al. Trends in Biometric Authentication: A review
US8320639B2 (en) Vein pattern management system, vein pattern registration apparatus, vein pattern authentication apparatus, vein pattern registration method, vein pattern authentication method, program, and vein data configuration
Kulkarni et al. Efficient approach determination for fake biometric Detection
Himaga et al. Finger vein authentication technology and financial applications
Sanches et al. A single sensor hand biometric multimodal system
Karunya et al. A study of liveness detection in fingerprint and iris recognition systems using image quality assessment
JP7315884B2 (en) Authentication method, authentication program, and information processing device
Prasanalakshmi et al. Secure cryptosystem from palm vein biometrics in smart card
Sobabe et al. Biometric system vulnerabilities: A typology of metadata
SulaimanAlshebli et al. The cyber security biometric authentication based on liveness face-iris images and deep learning classifier
Pandey et al. Supervised and unsupervised learning techniques for biometric systems
Wang et al. Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks
Patil et al. Image Quality (IQ) based liveness detection system for multi-biometric detection
Datwase et al. Palmprint spoofing detection by using deep learning technique on Multispectral database