Journal Information
Pattern Recognition Letters (PRL)
Impact Factor:
Call For Papers
Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.
Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:

• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Scientific, engineering, social and economical applications of pattern recognition;
• Special hardware architectures, software packages for pattern recognition.

We invite contributions as research reports or commentaries.

Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.
Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.

Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.

To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on Advances and New challenges in Document Analysis, processing and Recognition at the Dematerialization Age
Submission Date: 2022-07-20

Description of the issue Document Analysis and Recognition (DAR) aims at the processing, extraction and recognition of information contained in documents and initially addressed to human comprehension. Almost all sectors (banks, public administrations, etc.) are living a digital transformation boosted by the current COVID pandemic emergency. Different technologies characterize this scenario: mobile devices, standard acquisition and processing tools, cloud computing, cybersecurity and privacy are just some examples. The document is now part of an integrated and extended system which not only considers it as a standalone element, but it is also linked to many different users and to other digital elements including other documents, metadata, digital contents, and database records. This special issue is devoted to present and collect the most recent advances to process documents in the stand-alone modality as well as in an integrated and extended way. Document indexing, Natural Language Processing, summarization and translation are crucial steps for digital document archiving and augmentation. Nevertheless, it is well known that digital document containing handwriting can convey very sensitive information about the writer: age, sex, emotion, identity and health status are just some examples. Under this light, the processing of these data is very relevant in many applications deserving specific investigation as well as privacy preserving. Papers presenting reviews, alternative perspectives, new applications and methods in the field of DAR are welcome. Research contributions should have a significant advancement both in the state-of-the-art for document analysis as well as for machine learning and pattern recognition fields. Topics of interest Topics of interest to this special issue include, but are not limited to: Document Layout Analysis evaluation, recognition, semantic information extraction and benchmarking Camera-based document scanning, processing, segmentation, and recognition Document Understanding and information extraction Structured and unstructured documents processing Natural language processing, information extraction and retrieval Handwritten/printed document images, information extraction and retrieval Document Indexing Handwritten text recognition Document typeface, script and writing analysis and recognition Object detection and structure modeling: tables, forms, identification documents, drawn sketches, etc. Biometrics: writer identification and signature verification Soft biometrics and meta-data extraction and manipulation Deep Learning vs Shallow Learning techniques in real and benchmarking scenarios Real-time document analysis Interoperability of systems (e.g. cross dataset evaluations, standards,etc.) Document augmentation Human-Document Interaction Large digital archives Deadlines Submission period: 1-20 July-2022 Guest Editors Dr. Donato Impedovo (ME) – University of Bari Aldo Moro (Italy) Dr. Byron Leite Dantas Bezerra - University of Pernambuco (Brazil) Dr. Alejandro H. Toselli - Northeastern University (USA) Dr. Giuseppe Pirlo - University of Bari Aldo Moro (Italy)
Last updated by Dou Sun in 2022-01-29
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