Instruction for Authors
Submission
ICPR-2026 will follow a single-blind review process. Authors must include their names and affiliations in the manuscript.
Supplementary materials
Authors are allowed to optionally submit supplementary material at the time of the paper submission. Note that the main paper must be fully self-contained: all core ideas, methods, and results necessary to evaluate the work must appear in the main paper itself.
Supplementary material must be provided only for the benefit of reviewers to help clarify or elaborate on the submission (e.g., additional figures or tables, extended proofs, or more detailed analysis of experiments). It will not be published in the proceedings and will not be made public.
Reviewers are not expected to review the supplementary material and may choose not to consult it. Review and acceptance decisions will be based primarily on the main paper.
A single supplementary file of up to 50 MB may be uploaded. Please do not include datasets or source code in the supplementary material. (Data and code, if shared, should be made available through appropriate external repositories or links, not as supplementary files.)
Plagiarism
Plagiarism consists of appropriating the words or results of another, without credit. ICPR 2026's policy on plagiarism is to refer suspected cases to the Springer. We will be actively checking for plagiarism. Furthermore, the paper matching system is quite accurate. As a result, it regularly happens that a paper containing plagiarized material goes to a reviewer from whom material was plagiarized; experience shows that such reviewers pursue plagiarism cases enthusiastically.
Dual submissions
The goals of ICPR 2026 are to publish unpublished work and to avoid duplicating the effort of reviewers. By registering or submitting a manuscript to ICPR 2026, the authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop. Furthermore, no publication substantially similar in content (defined as having 20 percent or more overlap) has been or will be registered or submitted to this or another conference, workshop, or journal during the review period. Violation of any of these conditions will lead to rejection, and will be reported to the other venue to which the submission was sent.
Attendance responsibilities
The authors agree that if the paper is accepted, at least one of the authors will register for the conference and present the paper.
Authors acting as reviewer
Given the growth of the number of paper submissions, and per the decision of the organizing committee of ICPR 2026, we expect all authors to be willing to serve as reviewers if asked to do so.
Authors' emails and identification of conflicts
All authors must be registered in CMT using the same email address as in their submission. Whenever possible, authors are strongly encouraged to use their institutional email addresses. In all cases, authors must accurately specify all email domains with which they have a conflict of interest.
Privacy policy
IAPR may use the email ids of the authors for future communication. It can be shared with a third party managing such communications on behalf of IAPR or ICPR 2026. The details will not be shared for any commercial purpose.
Personal and human subjects data
If a paper makes use of personal data and/or data from human subjects, including personally identifiable information or offensive content, we expect that the collection and use of such data has been conducted carefully in accordance with the ethics guidelines. In many countries and institutions, the collection and use of personally identifiable data or data from human subjects is subject to approval from an Institutional Review Board (IRB, or equivalent). If the use of such data was approved by an IRB, stating this is sufficient. If the use of such data has not (yet) been approved by an IRB, authors should provide information on any pending approval process, how the data was obtained, as well as discuss if and how consent was obtained (or why it, perhaps, could not be obtained). This discussion can be included either in the main paper or in the supplementary material. If the authors use an existing, published dataset, we encourage (but do not require) them to check how data was collected and whether consent was obtained.
Open science
Release of code and data
In the spirit of reproducibility, we encourage (but do not require) all authors to make their code and data publicly available, and to provide the associated download link when making their submission.
If a paper submission is claiming a dataset release as one of its contributions, it is expected that the dataset will be made publicly available no later than the camera-ready deadline. Note that this does NOT imply that all datasets used in ICPR 2026 submissions must be public. The use of private or otherwise restricted datasets for training or experimentation is acceptable, but such datasets cannot be claimed as contributions of the paper as they do not become available to the scientific community.
Releasing source code and data is especially important when applying to the Reproducibility Badge (see below).
Reproducibility
In this edition of ICPR we will grant a Reproducible Research in Pattern Recognition (RRPR) Badge to accepted papers that follow the principles of reproducible research, transparency, and scientific trustworthiness, as determined by a separate evaluation by specially designated RRPR reviewers and the Reproducibility Chairs. Please see RRPR badges page for more details.
Use of Large Language Models (LLMs)
We welcome authors to use any tool that is suitable for preparing high-quality papers and research. However, we ask authors to keep in mind two important criteria. First, we expect papers to fully describe their methodology, and any tool that is important to that methodology, including the use of LLMs, should be described also. For example, authors should mention tools (including LLMs) that were used for data processing or filtering, visualization, facilitating or running experiments, and proving theorems. It may also be advisable to describe the use of LLMs in implementing the method (if this corresponds to an important, original, or non-standard component of the approach). Second, authors are responsible for the entire content of the paper, including all text and figures. Authors must ensure that all text is correct and original. All text will be subjected to the plagiarism checker.