Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11290
Title: FPGA implementation of face recognition algorithm
Authors: Sustersic, Tijana
Vulović A.
Filipovic, Nenad
Peulic A.
Journal: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Issue Date: 1-Jan-2018
Abstract: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018. Field of face recognition has been developing in the past several decades. Although percentage of successful recognition algorithms is constantly getting higher, there is room for improvement. Field Programmable Gate Array (FPGA) is technology that can be used for speed and accuracy improvement. The main goal of this paper was to load photos from files to FPGA and display, as well as describe implementation of the Eigenface algorithm on DE2 Altera board. We showed that DE2 Altera board can be used for reading databases and photos from crime scenes and discussed how Eigenface algorithm can be implemented on this board in order to speed up the process of face recognition. Speed of recognition process is an area where improvement is necessary, especially considering the need for instant face recognition in places like airports, or public meetings.
URI: https://scidar.kg.ac.rs/handle/123456789/11290
Type: Conference Paper
DOI: 10.1007/978-3-319-74935-8_13
ISSN: 18678211
SCOPUS: 85044449460
Appears in Collections:Faculty of Engineering, Kragujevac
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