Fuzzy Granulation Approach to Face Recognition
2021 (English)In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) / [ed] Rutkowski L., Scherer R., Korytkowski M., Pedrycz W., Tadeusiewicz R., Zurada J.M., Springer Science and Business Media Deutschland GmbH , 2021, Vol. 12855, p. 495-510Conference paper, Published paper (Refereed)
Abstract [en]
In this paper, a new approach to face description is proposed. The linguistic description of human faces in digital pictures is generated within a framework of fuzzy granulation. Fuzzy relations and fuzzy relational rules are applied in order to create the image description. By use of type-2 fuzzy sets, fuzzy relations, and fuzzy IF-THEN rules, an image recognition system can infer and explain its decision. Such a system can retrieve an image, recognize, and classify – especially a human face – based on the linguistic description. © 2021, Springer Nature Switzerland AG.
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. Vol. 12855, p. 495-510
Series
Lecture Notes in Computer Science, ISSN 03029743, E-ISSN 16113349
Keywords [en]
Explainable AI, Face recognition, Fuzzy granulation, Fuzzy relations, Fuzzy rules, Linguistic description, Type-2 fuzzy sets, Fuzzy inference, Granulation, Intelligent systems, Linguistics, Digital picture, Face descriptions, Human faces, Image descriptions, Linguistic descriptions, New approaches, Type-2 fuzzy set
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:bth-22305DOI: 10.1007/978-3-030-87897-9_44ISI: 000811814800043Scopus ID: 2-s2.0-85117706489ISBN: 9783030878962 (print)OAI: oai:DiVA.org:bth-22305DiVA, id: diva2:1609301
Conference
20th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2021,Virtual, Online, 21 June through 23 June
2021-11-082021-11-082022-08-08Bibliographically approved