[go: up one dir, main page]

Alsellami et al., 2021 - Google Patents

Overview of biometric traits

Alsellami et al., 2021

View PDF
Document ID
655672549718929582
Author
Alsellami B
Deshmukh P
Ahmed Z
Tawfik M
Al-madani A
Publication year
Publication venue
2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)

External Links

Snippet

In the present era of the technological advancement revolution, biometrics has become of paramount importance in the field of identification of physiological characteristics of individuals such as the face, fingerprint, iris, and palmprint or behavioral traits like voice, and …
Continue reading at www.researchgate.net (PDF) (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
    • G06K9/00221—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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288—Classification, e.g. identification
    • 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)
    • G06K9/00073—Extracting features related to minutiae and pores
    • 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
    • G06K9/00275—Holistic features and representations, i.e. based on the facial image taken as a whole
    • 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
    • G06K9/00885—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

Similar Documents

Publication Publication Date Title
Unar et al. A review of biometric technology along with trends and prospects
Masupha et al. Face recognition techniques, their advantages, disadvantages and performance evaluation
Elhoseny et al. Multimodal biometric personal identification and verification
Yin et al. A proposed approach for biometric-based authentication using of face and facial expression recognition
Rajasekar et al. Efficient multimodal biometric recognition for secure authentication based on deep learning approach
Hamidi et al. Transfer learning using vgg based on deep convolutional neural network for finger-knuckle-print recognition
Ebrahimpour Iris recognition using mobilenet for biometric authentication
Ali et al. Iris recognition system by using support vector machines
Sarode et al. Review of iris recognition: an evolving biometrics identification technology
Mukherjee et al. Iris recognition using wavelet features and various distance based classification
Messerschmidt et al. Biometric systems utilizing neural networks in the authentication for e-learning platforms
Kadri et al. Palmprint & iris for a multibiometric authentication scheme using Log-Gabor filter response
Al-Waisy et al. A robust face recognition system based on curvelet and fractal dimension transforms
Alsellami et al. Overview of biometric traits
Kour et al. Palmprint recognition system
Kataria et al. Fingerprint alterations type detection and gender recognition using convolutional neural networks and transfer learning
Rahman et al. Distinguishing a person by face and iris using fusion approach
Kumar et al. Computational intelligence techniques for biometric recognition: A review
Bhuiyan Biometrics Employing Neural Network
Anegsiripong et al. Personal identification based on fusion of iris and periocular information using convolutional neural networks
Rajput et al. Feature Extraction and Recognition of Fingerprint Using KNN-SIFT Algorithm
Sanon et al. A study of bias estimation in biometric systems
Bakshe et al. Hand geometry techniques: a review
Amrouni et al. Identity Recognition based on Palmprints: The Preliminary Results
Ito et al. A comprehensive study of face recognition using deep learning