A Benchmark for Perceptual Hashing based on Human Subjective Identification


	Information Technology Journal
	Year: 2009 \| Volume: 8 \| Issue: 4 \| Page No.: 544-550 DOI: 10.3923/itj.2009.544.550

A Benchmark for Perceptual Hashing based on Human Subjective Identification

Hui Zhang, Qiong Li, Haibin Zhang and Xiamu Niu

Abstract: This study proposed a novel benchmark for evaluating the robustness and discriminability properties of perceptual hashing algorithms. Firstly, two major problems neglected by traditional benchmark are analyzed thoroughly with a concrete experiment. One problem is the inconsistence between the subjective feeling and the objective perceptual distance, the other is the partiality of the performance for different attacks. And then, in order to overcome the problems, a new benchmark for perceptual hashing based on human subjective identification is proposed and the corresponding evaluation methods are presented by illustrative experiments and examples. Present benchmark methods are fairer and more comprehensive than the traditional methods.

PDF Fulltext XML References Citation Report Citation

How to cite this article:

Hui Zhang, Qiong Li, Haibin Zhang and Xiamu Niu, 2009. A Benchmark for Perceptual Hashing based on Human Subjective Identification. Information Technology Journal, 8: 544-550.

DOI: 10.3923/itj.2009.544.550

URL: https://scialert.net/abstract/?doi=itj.2009.544.550

COMMENT ON THIS PAPER

	Full Name:
	E-mail:
	Comments:

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Follow @scialert

Science Alert