Papers must be in English and not more than 20 pages in length. Paper content must be original and relevant to one of the many conference topics. Authors are required to ensure accuracy of quotations, citations, diagrams, maps, and tables. Figures and tables need to be placed where they are to appear in the text and must be clear and easy to view.
Try out personalized alert features Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks.
It is closely akin to machine learning, and also finds applications in fast emerging areas Read more Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks.
It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science.
The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably.
The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature.
Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere.
The publication policy is to publish 1 new original articles that have been appropriately reviewed by competent scientific people, 2 reviews of developments in the field, and 3 pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition.
Submitted papers should be single column, double spaced, no less than 20 and no more than 35 40 for a review pages long, with numbered pages. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more.
Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center.A Survey on Pattern Recognition using Fuzzy Clustering Approaches *G.
Nagalakshmi, **S. Jyothi Although the task of feature selection plays an important role in designing a pattern recognition system, the research in this area using fuzzy set theory has not been significant, as compared to classification or clustering.
This journal features top papers in pattern recognition, image recognition, analysis, understanding, and processing. Pattern Recognition and Image Analysis places emphasis on the rapid publishing of concise articles covering theory, methodology, and practical applications.
Major topics include. the pattern recognition algorithms that are used to design a specific problem domain require tedious re-designing processes whenever the problem domain changes .
Driscoll () says that pattern recognition is “the process whereby environmental stimuli are recognized as exemplars of concepts and principles already in memory” (p. 84). 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.
implementation of real-time Quick Response Code recognition using mobile, which is an efficient technology used for data transferring. Previous research work has shows that recognition of 2D barcode is researching hotspot and very difficult in Identification of QR Code based on Pattern Recognition with Mobile Phones.