نتایج جستجو برای: Hashing

تعداد نتایج: 4633  

Kh. Yaghmaie R. Davarzani, S. Mozaffari

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...

Journal: :journal of ai and data mining 2015
r. davarzani s. mozaffari kh. yaghmaie

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...

Journal: :CoRR 2017
Qing-Yuan Jiang Xue Cui Wu-Jun Li

Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperform unsupervised hashing. Recently, discrete supervised hashing and deep hashing are two representative progresses in supervised hashing. On one hand, hashing is essentially a discrete optimization problem. Hence, util...

Journal: :IOP Conference Series: Materials Science and Engineering 2017

2015
Bernhard Grill

This paper presents a survey on efficient hashing techniques in software configuration management scenarios. Therefore it introduces in the most important hashing techniques as open hashing, separate chaining and minimal perfect hashing. Furthermore we evaluate those hashing techniques utilizing large data sets. Therefore we compare the hash functions in terms of time to build the data structur...

Journal: :BRICS Report Series 1997

Journal: :Theoretical Computer Science 1997

Journal: :IEEE Trans. Computers 1997
M. V. Ramakrishna E. Fu E. Bahcekapili

Hashing is critical for high performance computer architecture. Hashing is used extensively in hardware applications, such as page tables, for address translation. Bit extraction and exclusive ORing hashing “methods” are two commonly used hashing functions for hardware applications. There is no study of the performance of these functions and no mention anywhere of the practical performance of t...

Journal: :Machine Learning 2015

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