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Image Matching Algorithm Based on Hashes Extraction

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Title:
Image Matching Algorithm Based on Hashes Extraction.
Authors: 
Camacho Rivas, Alberto; Chamoso Santos, Pablo; Martín Limorti, Javier J.; Rodríguez González, Sara; de la Preta Pintado, Fernando; Bajo Pérez, Javier
Book:
Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science. Volume 10423.

Publication date: 
9 August 2017
ISSN: 
978-3-319-65339-6 (Print), 978-3-319-65340-2 (Online)
DOI
 10.1007/978-3-319-65340-2_8

BibTex

@book { book,
title = {Image Matching Algorithm Based on Hashes Extraction},
author = {Camacho Rivas, Alberto; Chamoso Santos, Pablo; Martín Limorti, Javier J.; Rodríguez González, Sara; de la Preta Pintado, Fernando; Bajo Pérez, Javier},
publisher = {Springer},
volume = {10423},
series = {Lecture Notes in Computer Science},
year = {2017}
}

XML

<inproceedings key='conf/Camacho/9 August 2017' mdate='9 August 2017'>
<author>Camacho Rivas</author>
<author>Alberto; Chamoso Santos</author>
<author>Pablo; Martín Limorti</author>
<author>Javier J.; Rodríguez González</author>
<author>Sara; de la Preta Pintado</author>
<author>Fernando; Bajo Pérez</author>
<author>Javier</author>
<title>Image Matching Algorithm Based on Hashes Extraction</title>
<year>2017</year>
<booktitle>Progress in Artificial Intelligence. EPIA 2017</booktitle>
<ee>10.1007/978-3-319-65340-2_8</ee>
<url>https://link.springer.com/chapter/10.1007/978-3-319-65340-2_8</url>
</inproceedings>

Nowadays, the rise of social networks and the continuous storage of large of information are topical issue. But the main problem is not the storage itself, is the ability to process most of this information, so that it is not stored in vain. In this way, using the shared images within the scope of social networks, possible relationships between users could be identified. From this idea arises the present work, which focuses on identifying similar images even if they have been modified (applying color filters, rotations or even watermarks). The solution involves preprocessing to eliminate possible filters and then apply hashing techniques, just to obtain hashes that are unique for each image and allow the comparison of an abstract but effective way for the user.

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