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Bibliographic record number: 881114


Authors: Drmić, Andrea; Šilić, Marin; Delač, Goran; Vladimir, Klemo; Kurdija, Adrian Satja
Title: Evaluating Robustness of Perceptual Image Hashing Algorithms
Source: Proceedings of the International Conference on Computers in Technical Systems MIPRO 2017Opatija :
Meeting: 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Location and date: Opatija, Hrvatska, 22-26.05.2017.
Keywords: Perceptual Hashing, Image Identification, Robustness
In this paper we evaluate the robustness of perceptual image hashing algorithms. The image hashing algorithms are often used for various objectives, such as images search and retrieval, finding similar images, finding duplicates and near-duplicates in a large collection of images, etc. In our research, we examine the image hashing algorithms for images identification on the Internet. Hence, our goal is to evaluate the most popular perceptual image hashing algorithms with the respect to ability to track and identify images on the Internet and popular social network sites. Our basic criteria for evaluation of hashing algorithms is robustness. We find a hashing algorithm robust if it can identify the original image upon visible modifications are performed, such as resizing, color and contrast change, text insertion, swirl etc. Also, we want a robust hashing algorithm to identify and track images once they get uploaded on popular social network sites such as Instagram, Facebook or Google+. To evaluate robustness of perceptual hashing algorithms, we prepared an image database and we performed various physical image modifications. To compare robustness of hashing algorithms, we computed Precision, Recall and F1 score for each competing algorithm. The obtained evaluation results strongly confirm that P-hash is the most robust perceptual hashing algorithm.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Project / theme: HRZZ-IP-2014-09-9606
Original language: ENG
Category: Znanstveni
Research fields:
Computer science
Full paper text: 881114.Evaluating_Robustness_of_Perceptual_Image_Hashing_Algorithms.pdf (tekst priložen 15. Lip. 2017. u 22:22 sati)
Contrib. to CROSBI by: Marin Šilić (, 15. Lip. 2017. u 22:22 sati

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