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pro vyhledávání: '"Che-Yen Wen"'
Autor:
Hsin-Hsiung Kao, Che-Yen Wen
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3716 (2020)
Signature verification is one of the biometric techniques frequently used for personal identification. In many commercial scenarios, such as bank check payment, the signature verification process is based on human examination of a single known sample
Externí odkaz:
https://doaj.org/article/b8785394077044dd808830f83252b2b0
Autor:
Szu-Yuan Teng, Che-Yen Wen
Publikováno v:
Journal of Forensic Sciences. 66:315-322
File-sharing apps with Wi-Fi hotspot or Wi-Fi Direct functions become more popular. They can work on multiple platforms and allow users to transfer files in a concealed manner. However, when criminals use these apps in illegal activities, it becomes
Publikováno v:
International Journal of Remote Sensing. 32:9801-9810
This study describes some preliminary results of a new approach which seeks to develop a method by which uneven decay of atmosphere can be described by the fluctuation of a degradation parameter, k, extracted from online recorded images. The proposed
Autor:
Ming-Yang Syu, Cheng-Ping Chang, Kuo-Hung Lin, Che-Yen Wen, Shinhao Yang, Chin-Hsiang Luo, Shih-Hsuan Chiu
Publikováno v:
Journal of Aerosol Science. 42:491-496
Correct procedures for donning and removing protective clothing are critical for preventing transmission of hazardous particulates in industrial and medical settings. The purpose of this study is to examine the levels of airborne particulate leakage
Publikováno v:
Journal of the Chinese Institute of Engineers. 31:497-502
An independent component analysis (ICA) method for image separation by geometric transformation of a scatter diagram is proposed. Geometric transformation and normalization are used to project mixed image signals to independent component space. This
Publikováno v:
Pattern Recognition Letters. 29:370-376
This paper proposes a histogram based data-reducing algorithm for improving the performance of the fixed-point independent component analysis (FastICA). This data-reducing independent component analysis (DR-FastICA) is based upon two statistical crit
Publikováno v:
Atmospheric Environment. 39:3565-3572
This work explores the application of fractional Brownian motion (FBM) analysis to SEM micrographs of soot aggregates exhausted by a model dynamometer. By directly quantifying the surface texture of fractal-like aggregates to extract their Hurst coef
Publikováno v:
Atmospheric Environment. 39:2545-2552
This work investigates atmospheric visibility by employing two statistical processes for high-frequency extraction: Sobel operator and fast Fourier transform (FFT). In replacing the traditional measurement methods for atmospheric visibility, the new
Publikováno v:
Aerosol and Air Quality Research. 5:39-47
A method of image processing, Haar wavelet transform, was first applied to establish a new index and provide accurate digital data to present urban atmospheric visibility, instead of the conventional observing method. Digital images of urban areas in
Autor:
Che-Yen Wen, J.K. Chen
Publikováno v:
Forensic Science International. 140:217-232
Image fusion is a process of combining two or more images into an image. It can extract features from source images, and provide more information than one image can. Multi-resolution analysis plays an important role in image processing, it provides a