Face Recognition with Explanation by Fuzzy Rules and Linguistic Description
2020 (English)In: Lecture Notes in Computer Science / [ed] Rutkowski L.,Scherer R.,Korytkowski M.,Pedrycz W.,Tadeusiewicz R.,Zurada J.M., Springer Science and Business Media Deutschland GmbH , 2020, Vol. 12415, p. 338-350Conference paper, Published paper (Refereed)
Abstract [en]
In this paper, a new approach to face recognition is proposed. The knowledge represented by fuzzy IF-THEN rules, with type-1 and type-2 fuzzy sets, are employed in order to generate the linguistic description of human faces in digital pictures. Then, an image recognition system can recognize and retrieve a picture (image of a face) or classify face images based on the linguistic description. Such a system is explainable – it can explain its decision based on the fuzzy rules. © 2020, Springer Nature Switzerland AG.
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2020. Vol. 12415, p. 338-350
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349
Keywords [en]
Explainable AI, Face recognition and classification, Fuzzy IF-THEN rules, Linguistic description, Type-2 fuzzy sets, Artificial intelligence, Fuzzy inference, Fuzzy rules, Image recognition, Linguistics, Soft computing, Decision-based, Digital picture, Face images, Image recognition system, Linguistic descriptions, New approaches, Type-2 fuzzy set, Face recognition
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:bth-20822DOI: 10.1007/978-3-030-61401-0_32Scopus ID: 2-s2.0-85096516465ISBN: 9783030614003 OAI: oai:DiVA.org:bth-20822DiVA, id: diva2:1507690
Conference
19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, Zakopane, Poland, 12 October 2020 through 14 October 2020
2020-12-082020-12-082023-03-24Bibliographically approved