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.
In this paper we propose a new Handwritten Signature Recognition Algorithm. The Algorithm is based on pixel-to-pixel relationship between Images. The Algorithms are based on extensive statistical analysis, Standard Deviation, variance and Theory of Cross-Correlation. This is an extension work of Handwritten Signature Identification. This Algorithm supports the application environment and we strongly...
In this paper, we propose a technique for embedding handwritten signature image data into color images and extracting embedded image data from color images. For the sake of security, two watermarked images will be transmitted in different times from the sender's end to the receiver's end, in due course, from two transmitted images, at the receiver's end, original handwritten signature image data will...
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.