The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations (being national, multi-national, or international in scope) concerned with pattern recognition, computer vision, and image processing in a broad sense. Normally, only one organization is admitted from any one country, and individuals interested in taking part in IAPR’s activities may do so by joining their national organization.
The aims of IAPR are to promote pattern recognition and the allied branches of engineering together with the related arts and sciences, to advance international co-operation in the field of interest to stimulate research, development, and the application of pattern recognition in science and human activity, to further the dissemination and exchange of information on pattern recognition in the broad sense, and to encourage education in all aspects of the field of interest. In achieving these aims, IAPR fulfills the need for better world-wide communication and increases understanding among practitioners of all nations in the role that machine intelligence can play in accelerating technical and scientific progress.
Areas of pattern recognition currently represented by technical committees are: Statistical Pattern Recognition, Structural and Syntactical Pattern Recognition, Neural Networks and Computational Intelligence, Benchmarking and Software, Special Hardware and Software Environments, Remote Sensing and Mapping, Machine Vision Applications, Biomedical Applications, Graphics Recognition, Reading Systems, Multimedia and Visual Information Systems, Pattern Recognition in Astronomy and Astrophysics, Signal Analysis for Machine Intelligence, Graph Based Representations, Algebraic and Discrete Mathematical Techniques, Machine Learning and Data Mining, Discrete Geometry, Cultural Heritage Applications, and Bioinformatics.
The principal medium through which IAPR activities are publicised is the IAPR Newsletter. As well as listing IAPR sponsored scientific meetings and address information, reviewing conferences and books and publishing articles of general interest to the IAPR community, the Newsletter tries to keep its readership informed as to the work being carried out in the IAPR Committees.
The IAPR Newsletter is published quarterly in winter, spring, summer and autumn editions by IAPR. The last several issues are available at the IAPR website in the member’s section.
Pattern Recognition Letters
Pattern Recognition Letters main features are concise articles, rapid publication and a broad coverage of the pattern recognition literature.
The subject matter of PRL covers the interests represented in the technical committees of IAPR. In those fields, the papers may emphasize theory, methodology, empirical studies or applications. PRL is a refereed journal.
Originality, quality and clarity are the criteria for article acceptance. PRL (ISSN 0167 – 8655) is published monthly by Elsevier Science B.V. General information for authors is available through the Elsevier Editorial System (EES).
Machine Vision and Applications
Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are within the scope of the journal.
Particular emphasis is placed on engineering and technology aspects (algorithms, architecture, VLSI implementations, AI techniques and expert systems, languages, fron-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases and virtual reality) of image processing and computer vision. MV&A is the IAPR sponsored publication since January 1995. MV&A is published bimonthly by Springer Verlag.
International Journal on Document Analysis and Recognition (IJDAR)
IJDAR is focused in publishing articles dedicated to document analysis and recognition. This includes contributions dealing with computer recognition of characters, symbols, text, lines, graphics, images, handwriting, signatures, as well as automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content.
The journal publishes articles of four primary types – original research papers, correspondence, overviews and summaries, and system descriptions. Special issues on active areas of research will be encouraged.
Possible topics include:
- Document Image Processing
- Document Models
- Handwriting Models and Analysis
- Character and Word Recognition
- Symbol Recognition
- On-line Recognition
- Pen-based Computing
- Multi-lingual Processing
- Physical and Logical Page Analysis
- Raster-to-Vector Conversion
- Graphics Recognition
- Map and Line Drawing Understanding
- Interpretation of Engineering Drawings
- Storage and Retrieval of Documents
- Text Analysis and Processing
- Natural Language Issues
- Information Extraction and Filtering
- Performance Evaluation
- Document Authentication and Validation
- Implementations, Applications and Systems
- Processing Text in other Contexts
- Multimedia and Hypermedia Analysis
- Time-Varying Documents
- Distributed Document Collections (Digital Libraries)