Professor Apostolos Anatonacopoulos
School of Science, Engineering and Environment
Professor of Pattern Recognition
Apostolos Antonacopoulos leads the Pattern Recognition and Image Analysis (PRImA) research Lab at the School of Computing, Science and Engineering at the University of Salford, UK where he currently holds the post of Professor of Pattern Recognition. He received his PhD from the University of Manchester, Institute of Science and Technology (UMIST), UK in 1995. From 1995 to 2004 he worked as Lecturer in the Department of Computer Science at the University of Liverpool where he founded the PRImA Lab. In 2005, he joined the University of Salford as Senior Lecturer and the PRImA Lab was established and strengthened at Salford. In the same year, he received the IAPR/ICDAR Young Investigator Award for "Outstanding service to the ICDAR community and his innovative research in historical document processing applications."
Professor Antonacopoulos has worked and published extensively on various problems in Document Analysis and Understanding (Image Enhancement, Segmentation, Recognition, Performance Evaluation) as well as on other applications of Pattern Recognition and Image Analysis. He has co-edited the first Special Issue (IJDAR) on Historical Document Analysis as well as the first book on Web Document Analysis. He is an Associate Editor of Cultural Heritage Digitisation and has served as a member of the Editorial Board of the International Journal on Document Analysis and Recognition and of the Electronic Letters on Computer Vision and Image Analysis.
He is currently serving on the Executive Committee of the International Association for Pattern Recognition (IAPR) as Treasurer, having also held the posts of 1st and 2nd Vice President. He has also chaired or served as a member of a number of IAPR and other professional committees. He has given a number of invited talks and tutorials and has held engagements as a technical advisor to libraries and archives, among which are the British Library and the Wellcome Library. He has been active in the organisation of conferences and workshops and is a member of the programme committees of most conferences in his field. He has significant experience in leading and participating in national, European (FP7 and earlier) and industry-sponsored projects. Recent significant project involvement includes the €4M Europeana Newspapers EU-funded project (extraction and recognition of text in newspapers for the European Digital Library), the €1.8 SUCCEED EU-funded support action for the Centre of Competence in Digitisation and the US$734K Early Modern OCR project (EMOP) funded by the Andrew W. Mellon Foundation.
Areas of research
Pattern Recognition, Image Analysis, Document Analysis, Digitisation
My portfolio includes teaching in a wide range of both specialist and mainstream modules at undergraduate and postgraduate level. I consider active cross-fertilisation between teaching and research (particularly in specialist modules) crucial to staying at the forefront of the subject matter and to ensuring wider relevance in the real-world. Themes include:
- Document analysis and engineering;
- Pattern recognition and image analysis
- Group software project work.
- Pattern Recognition
- Image Analysis
- Document Image Analysis and Understanding
- Digital Restoration of Old and Historical Documents
- Document Conversion for Digital Libraries and Archives
- Web Document Analysis
- Human Interactive Proofs (HIPs and CAPTCHAs)
- BSc (Hons), Kent
- MSc (Research), Manchester
- PhD, Manchester