CallForPaper.org

Conference Description

Abbreviation: IWPR 2025
Full Name：2025 10th International Workshop on Pattern Recognition (IWPR 2025)
Location: Singapore
Conference Date: June 13-15, 2025
Web: http://www.icopr.org

Venue: Newcastle Australia Institute of Higher Education, Singapore
Address: Newcastle Australia Institute of Higher Education Pte Ltd, 100 Victoria Street, #13-01/02 National Library Building, 188064, Singapore

Publication：
All accepted papers will be registered and presented at the conference, which will be published into Conference Proceedings and submitted for Web of Science Conference Proceedings Citation Index Science, Scopus, Ei Compendex, etc, to ensure maximum awareness of the Proceedings like the last few years.

Call for Paper:
Track 1: Computer Vision
Early vision
Low-level vision
Biologically motivated vision

Track 2: Biomedical Image Analysis
Vision sensors
Medical image and signal analysis
Biological image and signal analysis

Track 3: Pattern Recognition and Machine Learning
Statistical, syntactic and structural pattern recognition
Machine learning and data mining
Artificial neural networks

Track 4: Image, Speech, Signal and Video Processing
Signal, image and video processing
Image and video analysis and understanding
Audio and acoustic processing and analysis

Track 5: Document Analysis, Biometrics and Pattern Recognition Applications
Pattern Recognition for Bioinformatics
Pattern Recognition for Surveillance and Security
Pattern Recognition for Search, Retrieval and Visualization

More topics via: http://icopr.org/cfp.html

Agenda Overview：
June 13, 2025 Conference Check in and Kits Collection
June 14, 2025 Opening Remarks and Keynote Speeches in the Morning
June 14, 2025 Parallel Sessions in the Afternoon
June 15, 2025 Academic Visiting & One day tour (Pending)

Submission Methods:
Full Paper (publication and oral presentation)
Abstract (oral presentation only)
Electronic Submission System (.pdf)
http://confsys.iconf.org/submission/iwpr2025 or email: [email protected].

Contacts:
Ms. Miya Hu
E-mail: [email protected]
Tel: +86-13096333337