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Iris pattern extraction using bit planes and standard deviations

Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2005
Iris recognition has been shown to be very accurate for human identification. In this paper, we develop a technique for iris pattern extraction utilizing the least significant bit-plane: the least significant bit of every pixel in the image. Through binary morphology applied to the bit-plane, the pupillary boundary of the iris is determined. The limbic
B. Bonney   +3 more
openaire   +2 more sources

An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain–computer interfacing

International journal of imaging systems and technology (Print), 2022
The redundant data in multichannel electroencephalogram (EEG) signals significantly reduces the performance of brain–computer interface (BCI) systems. By removing redundant channels, a channel selection strategy increases the classification accuracy of ...
Rupesh Mahamune, S. Laskar
semanticscholar   +1 more source

Pattern-Search-Based Algorithm for Ground-Motion Selection with Targeted Mean and Standard Deviation

International Journal of Steel Structures, 2021
Ground-motion selection is essential as an input for dynamic structural analyses. Although recent studies have highlighted the importance of target variance as auxiliary criteria and introduced selection methods, they typically require a trade-off between computational expense and accuracy.
Gifari Zulkarnaen, Young K. Ju
openaire   +1 more source

Exploring the spatiotemporal pattern evolution of carbon emissions and air pollution in Chinese cities.

Journal of Environmental Management, 2023
Based on data from 335 cities in China, this study employs the standard deviation ellipse method to portray unbalanced and differential spatiotemporal evolution patterns of environmental emissions and socioeconomic elements.
Zaenhaer Duman   +6 more
semanticscholar   +1 more source

Combinatorics of permutations

SIGA, 2022
In One Line and Close. Permutations as Linear Orders. Descents Alternating Runs Alternating Subsequences In One Line and Anywhere. Permutations as Linear Orders. Inversions. Inversions Inversion in Permutations of Multisets In Many Circles.
M. Bóna
semanticscholar   +1 more source

Standard deviations of degree differences as indicators of mixing patterns in complex networks

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013
Mixing patterns in social networks can give us important clues about the structure and functionality of these networks. In the past, a number of measures including variants of assortativity have been used to quantify degree mixing patterns of networks.
Gnana Thedchanamoorthy   +2 more
openaire   +1 more source

Compact Urban Form and Expansion Pattern Slow Down the Decline in Urban Densities: A Global Perspective

, 2020
The faster growth rate of urban land than population results in the persistent decline in urban densities over time, increasing the cost of land in urbanization.
Gang Xu, Zhengzi Zhou, L. Jiao, Rui Zhao
semanticscholar   +1 more source

Assessment of speckle pattern quality in digital image correlation from the perspective of mean bias error

, 2020
Digital image correlation (DIC) technology is severely affected by the speckle pattern quality. Most of the existing assessment methods always use only one parameter to evaluate both mean bias error and standard deviation error, such as the mean ...
Xiaoliang Hu, Zhijiang Xie, Fei Liu
semanticscholar   +1 more source

Input Pattern According to Standard Deviation of Backpropagation Neural Network: Influence on Accuracy of Soil Moisture Retrieval

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
The accuracy of an Artificial Neural Network (ANN) depends on the representativeness of the data used to train it. Although it is known that an ANN will function well as long as the pattern of the input data is similar to the testing data, there has been no research on the effect of data "similarity" on the accuracy of the network outputs.
Soo-See Chai   +3 more
openaire   +1 more source

Improving image-quality of interference fringes of out-of-plane vibration using temporal speckle pattern interferometry and standard deviation for piezoelectric plates

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2013
Interferometry provides a high degree of accuracy in the measurement of sub-micrometer deformations; however, the noise associated with experimental measurement undermines the integrity of interference fringes. This study proposes the use of standard deviation in the temporal domain to improve the image quality of patterns obtained from temporal ...
, Chien-Ching Ma, , Ching-Yuan Chang
openaire   +2 more sources

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