The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a new content-based digital image-watermarking technique, which is effective in resisting geometry attack. With the robustness of the proposed Multi-scale Curvature Product (MSCP) corner detection algorithm, MSCP is utilized to extract corners from the low frequency components of the images after 3-level lifting wavelet transformation, and then the watermark is embedded into all...
Several methods of character analysis and classification for pulse condition are studied with the use of statistics theory. There methods are applied to character abstraction. Pulse condition is analyzed in time, frequency and wavelet domain. Two classifications methods are used, namely back-propagation neural network (BPNN) and fuzzy neural network (FNN). Withdrew pulse condition characteristic to...
Different from multi-channel MES, eleven Chinese digitals zero to ten (/i/, /er/, /san/, /si/, /wu/, /liu/, /qi/, /ba/, /jiu/, and /shi/) are studied based on the one-channel detected myoelectric signal (MES). Zygomaticus major and anterior belly of the digastric are carefully selected as the electrodes site of MES detected. According to MES characteristic, wavelet transform coefficients, AR model...
We propose a multiscale feature extraction method of finger-vein patterns based on wavelet and local interconnection structure neural networks. The finger-vein image is performed the multiscale self-adaptive enhancement transform. A neural network with local interconnection structure is designed to extract the features of the finger-vein pattern. This method has three features: Firstly, by applying...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.