July 25 ~ 26, 2026, Toronto, Canada
Hybrid--Registered authors can present their work online or face to face New
12th International Conference on Image Processing and Pattern Recognition (IPPR 2026) is a forum for presenting new advances and research results in the fields of Digital Image Processing. The Workshop will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the journal covers all theoretical and practical aspects of the Digital Image Processing & Pattern Recognition, from basic research to development of application.
12th International Conference on Image Processing and Pattern Recognition (IPPR 2026) is a forum for presenting new advances and research results in the fields of Digital Image Processing. The Workshop will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the journal covers all theoretical and practical aspects of the Digital Image Processing & Pattern Recognition, from basic research to development of application.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Authors are invited to submit papers through the conference Submission System by April 25, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from IPPR 2026, after further revisions, will be published in the special issue of the following journal.
Important Dates
April 25, 2026
May 23, 2026
May 30, 2026
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library