Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/51705
Title: System for license plates recognition based on viola-jones algorithm
Authors: Bachynskyy, Ruslan
Pankiv, Bohdan
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Bachynskyy R. System for license plates recognition based on viola-jones algorithm / Ruslan Bachynskyy, Bohdan Pankiv // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 62–65. — (10th International academic conference “Computer science & engineering 2018”).
Bibliographic description (International): Bachynskyy R. System for license plates recognition based on viola-jones algorithm / Ruslan Bachynskyy, Bohdan Pankiv // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 62–65. — (10th International academic conference “Computer science & engineering 2018”).
Is part of: Litteris et Artibus : proceedings, 2018
Conference/Event: 8th International youth science forum «Litteris et Artibus»
Journal/Collection: Litteris et Artibus : proceedings
Issue Date: 22-Nov-2018
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Temporal Coverage: 23–25 November 2018, Lviv
Keywords: machine learning
pattern recognition
client-server system
Number of pages: 4
Page range: 62-65
Start page: 62
End page: 65
Abstract: Described system for license plates recognition. Analyzed algorithms of classification and recognition. The system architecture is described and compared to the similar systems.
URI: http://ena.lp.edu.ua:8080/handle/ntb/51705
ISBN: 978-966-941-294-2
Copyright owner: © Національний університет “Львівська політехніка”, 2018
URL for reference material: http://www.pvsm.ru/algoritmy/30704
https://habr.com/post/105220/
References (Ukraine): [1] P. Viola and J. Michael , Computer Vision and Pattern Recognition. Rapid Object Detection using a Boosted Cascade of Simple, 2001
[2] Object recognition with OpenCV. Contours vs Haar’s primitives http://www.pvsm.ru/algoritmy/30704 (Sep. 19, 2018)
[3] Classification of data using support vector machines https://habr.com/post/105220/ (Sep. 19, 2018)
References (International): [1] P. Viola and J. Michael , Computer Vision and Pattern Recognition. Rapid Object Detection using a Boosted Cascade of Simple, 2001
[2] Object recognition with OpenCV. Contours vs Haar’s primitives http://www.pvsm.ru/algoritmy/30704 (Sep. 19, 2018)
[3] Classification of data using support vector machines https://habr.com/post/105220/ (Sep. 19, 2018)
Content type: Conference Abstract
Appears in Collections:Litteris et Artibus. – 2018 р.



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