Authors: Brodić, Darko
Amelio, Alessia
Janković, Radmila 
Milivojević, Zoran
Title: Analysis of the reforming languages by image-based variations of LBP and NBP operators
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 10607 LNAI
First page: 238
Last page: 251
Conference: 11th Multi-disciplinary International Workshop on Artificial Intelligence, MIWAI 2017; Gadong; Brunei Darussalam; 20 November 2017 through 22 November 2017
Issue Date: 1-Jan-2017
Rank: M33
ISBN: 978-3-319-69455-9
ISSN: 0302-9743
DOI: 10.1007/978-3-319-69456-6_20
This paper proposes an extension of the local binary pattern and neighbor binary pattern as a basis for extracting features needed for recognizing an image which represents a text in specific languages. At the first, the unicode text is, according to its energy status in the text-line area, converted into a gray level image. Then, the extension of the local binary pattern and neighbor binary pattern is proposed. These features are extracted in order to differentiate image-based representations of a text in a given language. At the end, the extracted features are classified by Support Vector Machine and Naive Bayes to establish a difference that can identify different languages. The obtained results prove the accuracy and efficiency of the proposed method when compared with other state-of-the-art methods.
Keywords: Adjacent local binary pattern | Classification | Image analysis | Local binary pattern | Natural language processing | Neighbor binary pattern
Publisher: Springer Link
Project: Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 
Development and application of distributed system for monitoring and control of electrical energy consumption for large consumers 

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