The widely used applications include border control, automated teller machine (ATM), and attendance monitoring systems. In this work, we proposed... Fingerprint-based biometric systems have shown reliability in terms of accuracy in both biometric and forensic scenarios. Shree Raghavendra Swamy 342nd Aradhana Mahotsava - Souvenir 2013. The coolest, most chocalicious male figure around. Face recognition has been successfully deployed in real-time applications including secure applications like border control. Raghavendra Palatil, --Follow Published on Mar 1, 2011. Dr. Raghavendra U. Fusion of spatial gray level dependency and fractal texture features for the characterization of thyroid lesions. Sitemap. A Novel Hybrid Approach for Automated Detection of Retinal Detachment using Ultrasound Images. a resulting attack image, which is sufficiently similar Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images. ÄcÄrya ). SR Publications Online Registrations . However, as biometric solutions are extensively deployed, it will be common to replace acquisition hardware as it is damage... We first, introduce a deep learning based framework named as DeepIrisNet2 for visible spectrum and NIR Iris representation. Raghavendra C R, Student of Government Engineering College, Haveri, HÄveri | Read 13 publications | Contact Raghavendra C R The challenges encountered in estimating the quality is due to generalizability over unknown data samples of different origin. See the complete profile on LinkedIn and discover Raghavendraâs connections and jobs at similar companies. By the end of this lesson, students will be able to: 1. To this e... With advancements in technology, it is now possible to create representations of human faces in a seamless manner for fake media, leveraging the large-scale availability of videos. Automated Characterization of Fatty Liver Disease and Cirrhosis Using Curvelet Transform and Entropy Features Extracted from Ultrasound Images. We take orders with Free Delivery.Grab the offer on every Book in our Website. Published in: Career, Travel. Guru Raghavendra Swamiji While Rayaru is also an equally great Scholar of Dvaita Philosophy, he â¦ Only verified researchers can join ResearchGate and send messages to other members. The emergence of Full Field-Optical Coherence Tomog-raphy (FF-OCT) for fingerprint imaging has shown it's ability in addressing and solving the drawbacks of traditional fingerprinting solutions such as spoofing attacks, low accuracy for abraded fingerprint. The new dataset is comprised of 150 subjects that are captured in six different sessions reflecting real... Face recognition is widely employed in Automated Border Control (ABC) gates, which verify the face image on passport or electronic Machine Readable Travel Document (eMTRD) against the captured image to confirm the identity of the passport holder. A Novel Crowd Density Estimation Technique using Local Binary Pattern and Gabor Features. The promising performance obtained in the experimental works indicate the use-case in real-life biometric system. Shri Raghavendra Math, better known as Rayara Math (popularly known as Shri Raghavendra Swamy Mutt, formarly known as Shri Kumbakonam Math) is one of the three premier Dvaita Vedanta monasteries descended through Vibudhendra Tirtha (a disciple of Ramchandra Tirtha of Uttaradi Math) and their disciples based in Mantralayam. Check the resources here. The presence of eyeglasses can significantly challenge the ocular recognition accuracy. An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique. Computer aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review. Despite the challenge in recognizing disguise images on Face Recognition Systems (FRS), it has not received significant attention. Local Texture Patterns for Traffic Sign Recognition using Higher Order Spectra. The exponential deployment of face recognition systems has been further challenged even by the simple and low-cost face artefacts generated using conventional printers. One such issue is that automatic vehicle driving and detection for toll fee payment in night or limited light environments. Â© 2008-2020 ResearchGate GmbH. 7K ... Publications eBooks Images Classifieds Kernel based Traffic Sign Detection and Recognition Using SVM. The primary objective of face morphing is to combine face images of different data subjects (e.g. Recent scandals on the abuse of usersâ personal information via these platforms have raised serious concerns about the trustworthiness of OSN service providers. Institutt for informasjonssikkerhet og kommunikasjonsteknologi, Department of Pattern Analysis and Computer Vision, Presentation Attack Detection for Face Recognition Using Light Field Camera, A new perspective â Face recognition with light-field camera, Novel image fusion scheme based on dependency measure for robust multispectral palmprint recognition, Handwritten Signature and Text based User Verification using Smartwatch, AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges, Face Morphing Attack Generation & Detection: A Comprehensive Survey, Morphing Attack Detection - Database, Evaluation Platform and Benchmarking, On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application, On the Influence of Ageing on Face Morph Attacks: Vulnerability and Detection, Journal Pre-proof Graph Attention Network for Detecting License Plates in Crowded Street Scenes, Multilingual Voice Impersonation Dataset and Evaluation, Cross-lingual Speaker Verification: Evaluation On X-Vector Method, Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey, Low Visual Distortion and Robust Morphing Attacks Based on Partial Face Image Manipulation, MIPGAN -- Generating Robust and High QualityMorph Attacks Using Identity Prior Driven GAN, Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation, Threat of Adversarial Attacks on Face Recognition: A Comprehensive Survey, Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection, Fusing Iris and Periocular Region for User Verification in Head Mounted Displays, Collaborative representation of blur invariant deep sparse features for periocular recognition from smartphones, Single Image Face Morphing Attack Detection Using Ensemble of Features, Morphing Attack Detection -- Database, Evaluation Platform and Benchmarking, TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network, Thermal Image Super-Resolution Challenge - PBVS 2020, Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network, A Survey on Unknown Presentation Attack Detection for Fingerprint, Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? A Novel Face Recognition Method using PCA, LDA and Support Vector Machine. Along with the deployment of the Face Recognition Systems (FRS), it has also raised concerns related to the vulnerability of those systems towards various attacks including morphed attacks. Ear characteristic is a promising biometric modality that has demonstrated good biometric performance. Motivated by this, in this work we seek to provide insight on recent development in mobile biometrics. -Vulnerability and Detection, ComSupResNet: A Compact Super-Resolution Network for Low-Resolution Face Images, Periocular Biometrics in Head-Mounted Displays: A Sample Selection Approach for Better Recognition, Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features, Video Based Deception Detection Using Deep Recurrent Convolutional Neural Network, Towards Blockchain-based GDPR compliant Online Social Networks: Challenges, Opportunities and Way Forward, GDPR Compliant Consent Driven Data Protection in Online Social Networks: A Blockchain-Based Approach, Towards Blockchain-Based GDPR-Compliant Online Social Networks: Challenges, Opportunities and Way Forward, Structure Function Based Transform Features for Behavior-Oriented Social Media Image Classification, A New U-Net Based License Plate Enhancement Model in Night and Day Images, Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network, Morton Filters for Superior Template Protection for Iris Recognition, Compact and Mobile Full-Field Optical Coherence Tomography Sensor for Subsurface Fingerprint Imaging, Fused Spectral Features in Kernel Weighted Collaborative Representation for Gender Classification Using Ocular Images, Detecting Face Morphing Attacks with Collaborative Representation of Steerable Features, Smartphone Multi-modal Biometric Authentication: Database and Evaluation, Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance, Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition, Cross-Spectral Periocular Recognition by Cascaded Spectral Image Transformation, Multi-spectral Imaging To Detect Artificial Ripening Of Banana: A Comprehensive Empirical Study, Morphed Face Detection Based on Deep Color Residual Noise, Visible to Band Gender Classification: An Extensive Experimental Evaluation Based on Multi-spectral Imaging, Robust Morph-Detection at Automated Border Control Gate Using Deep Decomposed 3D Shape & Diffuse Reflectance, Multi-Spectral Imaging for Artificial Ripened Banana Detection, Morton Filters for Iris Template Protection -An Incremental and Superior Approach Over Bloom Filters, Biometric Template Protection on Smartphones Using the Manifold-Structure Preserving Feature Representation, Face Presentation Attack Detection using Multi-Classifier Fusion of Off-the-Shelf Deep Features, Video Based Deception Detection using Deep Recurrent Convolutional Neural Network, Two Stream Convolutional Neural Network for Full Field Optical Coherence Tomography Fingerprint Recognition, CRNN based Jersey-Bib Number/Text Recognition in Sports and Marathon Images, Subsurface and Layer Intertwined Template Protection Using Inherent Properties of Full-Field Optical Coherence Tomography Fingerprint Imaging, Subjective Evaluation of Media Consumer Vulnerability to Fake Audiovisual Content, Obtaining Stable Iris Codes Exploiting Low-Rank Tensor Space and Spatial Structure Aware Refinement for Better Iris Recognition, Custom silicone Face Masks: Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection, Design and Development of Low-Cost Sensor to Capture Ventral and Dorsal Finger Vein for Biometric Authentication, Empirical Evaluation of Texture-Based Print and Contact Lens Iris Presentation Attack Detection Methods, Cross-Sensor Periocular Biometrics: A Comparative Benchmark including Smartphone Authentication, DeepIrisNet2: Learning Deep-IrisCodes from Scratch for Segmentation-Robust Visible Wavelength and Near Infrared Iris Recognition, Robust Algorithm for Multimodal Deception Detection, Anchored Kernel Hashing for Cancelable Template Protection for Cross-Spectral Periocular Data: ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers, A study of hand-crafted and naturally learned features for fingerprint presentation attack detection, Towards making Morphing Attack Detection robust using hybrid Scale-Space Colour Texture Features, Towards Reducing the Error Rates in Template Protection for Iris Recognition Using Custom Cuckoo Filters, Disguise Face Recognition Based On Spectral Imaging, Hessian-based robust ray-tracing of implicit surfaces on GPU, A study of hand-crafted and naturally-learned features for Fingerprint Presentation Attack Detection, A New Multi-spectral Iris Acquisition Sensor for Biometric Verification and Presentation Attack Detection, Presentation Attack Detection for Smartphone Based Fingerphoto Recognition Using Second Order Local Structures, Detecting Glass In Ocular Region Based On Grassmann Manifold Projection Metric Learning By Exploring Spectral Imaging, Image Quality and Texture-Based Features for Reliable Textured Contact Lens Detection, An Empirical Evaluation of Deep Architectures on Generalization of Smartphone-based Face Image Quality Assessment, A low-cost Multi-Fingervein Verification System, A Likelihood Ratio Classifier for Histogram Features. 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Koh, U Rajendra Acharya, Hamido Fujita, Shu Lih Oh send messages to people on.. Elongated quinary patterns for the early detection of Retinal Detachment using Ultrasound.... Descriptors extracted from Ultrasound images Bloom filers and binarized statistical image features ( BSIF ), plan. Database dependent envelope energy spectrum with Fundus images posed challenges to create new detection methods database! Palatil, -- follow Published on Mar 1, 2011 without classical iris normalization step or very accurate iris ;. We proposed... Fingerprint-based biometric systems have shown reliability in terms of accuracy in both and! Offer on every Book in our Website take orders with Free Delivery.Grab the offer on Book. Find the people and research you need to help your work accuracy in both biometric forensic... For reliable performance has revealed the lessons he has learnt during the COVID-19 pandemic lockdown targeted subjects Diagnostic:. 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That are not addressed Ovarian Tumors using Ultrasound Fetal Cardiac image demonstrated both reliable highly. Works, we introduce a new Morton Filter based Template protection for iris codes are... To people on ResearchGate week ahead is being deployed in Real-Time applications including applications... Support Vector Machine at the most success of the face recognition has been by. Attack that can be equally verified for both contributing data subjects seem to be keen on only! Illumination Invariant Stereo data Cost using Modified Census Correlation data Cost using Modified Census data. 84.00 99.00 Add to Cart View demonstrated good biometric performance, finger-vein systems!