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IJCB 2026: International Joint Conference on Biometrics

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IJCB
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截稿日期:
2026-04-30 Extended
通知日期:
2026-06-21
会议日期:
2026-09-01
会议地点:
Rome, Italy
届数:
12
CCF: C   ICORE: B   浏览: 37733   关注: 11   参加: 2

会伴指数 (CP-I)

58.6 / 100
全站第 643 名 / 共 5,680 个会议 · 前 12%

计算机视觉与模式识别 第 20 / 243

学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
69
社区关注 (10%)
44
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE B · 有据可查的届次：12 · 在会伴关注它的研究者：11 人 · 过去 24 个月打开过本页的研究者：13 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-12

征稿

IJCB 2026 (International Joint Conference on Biometrics) is a CCF C / ICORE B conference held in Rome, Italy on 2026-09-01. The paper submission deadline is 2026-04-30 (extended). Acceptance notifications are sent on 2026-06-21.

The IEEE International Joint Conference on Biometrics (IJCB 2026) is the premier international forum for cutting-edge research in biometrics and related areas. IJCB brings together two major conferences — the IEEE Biometrics Theory, Applications, and Systems (BTAS) and the IAPR International Conference on Biometrics (ICB) — and is sponsored by the IEEE Biometrics Council and the IAPR Technical Committee on Biometrics (TC-4). We invite submissions of original and unpublished research papers addressing theoretical advances, applications, and interdisciplinary developments in biometrics. Submissions under review elsewhere will not be considered. Topics of Interest Topics include, but are not limited to, the following areas: Biometric modalities: face, fingerprint, iris, palmprint, vein, periocular, ear, voice, gait, signature, touch dynamics, behavioral biometrics Deepfake detection and AI-generated content verification Multimodal and multispectral biometric systems Presentation Attack Detection (PAD) and anti-spoofing techniques Template security and privacy protection: encryption, secure storage, anonymization, differential privacy Bias, fairness, explainability, and transparency in biometric systems Machine learning for biometrics: deep learning, transfer learning, continual learning, efficient/compact models, transformers Evaluation protocols and benchmarking, performance modeling, new datasets and large-scale studies Biometrics in forensics and law enforcement, large-scale identification, border control Emerging applications: IoT, wearable devices, mobile biometrics, healthcare, human-computer interaction Ethical, legal, and societal implications: compliance with regulations (GDPR, AI Act), human rights, societal acceptance
由 Dou Sun 最后更新于

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CFuture Generation Computer Systems5.9Elsevier0167-739X
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CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
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