Información de la conferencia

IJCB 2027: IEEE/IAPR International Joint Conference on Biometrics

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Día de Entrega:
2027-04-09 Faltan 167 días
Fecha de Notificación:
2027-06-14
Fecha de conferencia:
2027-09-13
Ubicación:
Foz do Iguaçu, Brazil
Ediciones:
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CCF: C   ICORE: B   Vistas: 38773   Seguidores: 11   Asistentes: 2
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IJCB
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Índice Conference Partner (CP-I)

64,4 / 100
Puesto n.º 468 de 5.759 congresos · 9% superior

N.º 15 de 246 en Visión por computador y reconocimiento de patrones

Reconocimiento académico (35%)
72
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
71
Atención de la comunidad (10%)
45
Integridad del registro público (15%)
70

Datos utilizados: Categorías: CCF C, ICORE B · Ediciones documentadas: 13 · Investigadores que lo siguen aquí: 11 · Investigadores que abrieron esta página en los últimos 24 meses: 15

Falta en el registro público: Tasas de aceptación históricas (+4,5)
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Solicitud de Artículos

IJCB 2027 (IEEE/IAPR International Joint Conference on Biometrics) is a CCF C / ICORE B conference held in Foz do Iguaçu, Brazil on 2027-09-13. The paper submission deadline is 2027-04-09. Acceptance notifications are sent on 2027-06-14.

The IEEE/IAPR International Joint Conference on Biometrics (IJCB 2027) is the premier international forum for research in biometrics and identity science. IJCB combines two flagship conferences—the IEEE Biometrics Theory, Applications, and Systems (BTAS) and the IAPR International Conference on Biometrics (ICB)—under the sponsorship of the IEEE Biometrics Council and the IAPR Technical Committee on Biometrics (TC-4). IJCB 2027 will be held September 13–17, 2027, in Foz do Iguaçu, Brazil, bringing together researchers, practitioners, and industry leaders to present and discuss the latest advances in biometric technologies. We invite submissions of original, high-quality, unpublished research papers describing novel contributions in all areas of biometrics. Topics of Interest Topics include, but are not limited to, the following areas: Biometric modalities: face, fingerprint, iris, palmprint, vein, periocular, ear, speech and speaker recognition, gait, gesture and action recognition, signature, touch dynamics, behavioral biometrics, soft biometrics Media authenticity, provenance, and identity integrity: deepfake detection, synthetic identity detection, AI-generated content verification, media provenance, watermarking, content authentication, digital forensics Multimodal and multispectral biometric systems: multimodal learning, cross-modal learning, sensor fusion, multimodal foundation models, missing-modality learning Presentation Attack Detection (PAD), anti-spoofing, and adversarial robustness: presentation attacks, adversarial attacks, model robustness, model stealing, poisoning attacks, membership inference Template security and privacy protection: biometric cryptosystems, template protection, encryption, secure storage, homomorphic encryption, federated learning, split learning, secure multi-party computation, differential privacy, trusted execution environments Bias, fairness, explainability, transparency, and trustworthy biometrics: demographic performance variations, demographic bias, explainable AI, uncertainty estimation, calibration, robustness, accountability, human-centered AI, accessibility, inclusive biometrics Machine learning and foundation models for biometrics: deep learning, transformers, vision-language models, multimodal foundation models, generative AI, diffusion models, self-supervised learning, representation learning, transfer learning, prompt learning, continual learning, efficient and compact models, edge AI Synthetic biometric data and generative models: synthetic data generation, identity-preserving generation, data augmentation, digital humans, privacy-preserving synthetic identities Evaluation protocols, benchmarking, reproducibility, performance modeling, datasets, and large-scale studies: reproducible research, open benchmarks, dataset governance, data provenance, benchmark design Biometrics in forensics, law enforcement, border control, digital identity, and identity management: large-scale identification, open-set recognition, open-world biometrics, incremental enrollment, decentralized identity, self-sovereign identity, digital identity wallets, verifiable credentials Emerging applications: IoT, wearable devices, mobile biometrics, healthcare, banking, human-computer interaction, continuous authentication, extended reality (AR/VR/MR), spatial computing, robotics, autonomous systems Ethical, legal, and societal implications: responsible AI, human rights, societal acceptance, regulatory compliance (e.g., GDPR, AI Act), sustainability and green biometrics
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Los Mejores Artículos

AñoLos Mejores Artículos
2026OctaMask: Compact and Multi-Use-Resilient Face Template Protection via Hyperoctahedral-Group Helpers and Reed–Muller Spherical Codes
2025AG-VPReID.VIR: Bridging Aerial and Ground Platforms for Video-based Visible-Infrared Person Re-ID
2025Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications
2025Facial Demorphing from a Single Morph Using a Latent Conditional GAN
2025CVVNet: A Cross-Vertical-View Network for Gait Recognition
2024FDWST: Fingerphoto Deblurring using Wavelet Style Transfer
2024Keystroke Dynamics Against Academic Dishonesty in the Age of LLMs
2024Distillation-guided Representation Learning for Unconstrained Gait Recognition
2023Adapt-FuseNet: Context-aware Multimodal Adaptive Fusion of Face and Gait Features using Attention Techniques for Human Identification
2023Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation
2023CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion
2022On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
2022HEFT: Homomorphically Encrypted Fusion of Biometric Templates
2021LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics
2021PointFace: Point Set Based Feature Learning for 3D Face Recognition
2020Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices
2020Beyond Identity: What Information Is Stored in Biometric Face Templates?
2020PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild
2017On the Vulnerability of ECG Verification to Online Presentation Attacks
2017Multi-View 3D Face Reconstruction with Deep Recurrent Neural Networks

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