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The selected form template is listed on the left side of this dialog box. The form template CorpBgt2008 is selected for the purpose of the examples in this chapter. Creation of this form template is discussed in a later section of this chapter. In the next Submission Period page of the Create an Assignment Definition wizard, the developer can select the priority, start, and end dates for submission, as well as the no-submission options. The default options on this page are selected for the purpose of the examples in this chapter. In the Review and Approval page of the wizard, the required workflow for the data submission can be selected. Depending on the option selected in this page, a submission may go through a review and approval process, or may go through no additional review or approval process. The Review and Approval option is selected for the examples in this chapter. The next page in the wizard depends on the options selected in the previous Review and Approval page. If the Review Only or the Review and Approval options are selected, the next page will be the Review page. Adding any combination of Business Users and Business Roles as Reviewers is similar to adding Contributors,

When creating a transparency, you can set whether the fill and outline properties of objects are included in a Transparency effect. Choose All, Fill, or Outline using Property Bar options.

The failure to enroll rate is the probability that, for whatever reason, an individual is unable to enroll. Good reporting practices should describe the main causes that produced such failures. These might include user injuries, image-quality problems, or positioning problems. Failure to enroll rates for most systems are normally quite low. Enrollment problems for large populations tend to result from logistical and programmatic issues more than from isolated technical difficulties.

Modify the Login servlet from the beginning of the chapter:

TransactionRequest in that it contains a number of responses for a number of contexts. A TransactionReply may be represented as

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// Sort an array and search for a value. using System; class SortDemo { static void Main() { int[] nums = { 5, 4, 6, 3, 14, 9, 8, 17, 1, 24, -1, 0 }; // Display original order. Console.Write("Original order: "); foreach(int i in nums) Console.Write(i + " "); Console.WriteLine(); // Sort the array. Array.Sort(nums); // Display sorted order. Console.Write("Sorted order: foreach(int i in nums) Console.Write(i + " "); Console.WriteLine();

Then the fingerprint region is processed to thin the ridges to 1 pixel in width and binarize them The reason for originally capturing them at 500 ppi and 8 bits of grayscale was twofold: to capture as much information as possible to permit accurate ridge location and analysis, and to support human fingerprint image examination The thinned, binary image can then be processed to find the minutiae This involves the use of Gabor filters that are moved across the image The calculations show ridge location and flow direction as well as ridge endings and changes of direction The differentiator of the various proprietary algorithms is what data they add to the X, Y, and Theta values.

package web; import javax.servlet.http.*; import java.io.*; public class LoginSES extends HttpServlet { public void doPost(HttpServletRequest request, HttpServletResponse response) { String username = request.getParameter("username"); String password = request.getParameter("password"); HttpSession session = request.getSession(true); session.setAttribute("username", username); session.setAttribute("password", password); try { response.setContentType("text/html"); PrintWriter writer = response.getWriter(); writer.println("<html><body>"); writer.println("Thank you, " + username + ". You are now logged into the system"); String newURL = response.encodeURL("/Ch05/GetSession"); writer.println("Click <a href=\"" + newURL + "\">here</a> for another servlet"); writer.println("</body></html>");

There are two versions of IComparer: generic and non-generic. Although the way each is used is similar, there are some small differences, and each approach is examined here.

Typically they include a subset of the following fingerprint attributes: overall pattern, core or delta location and overall image quality; and minutiae attributes: minutiae quality or confidence, nearest neighbors, ridge crossings between neighbors, quadrant the minutiae are in, and length and curvature of the ridge a minutia is located on After the features are extracted, usually in a record that averages about 1,000 bytes, they are matched with records in a repository to calculate a match score A threshold is applied to the sorted match scores to find a match or candidate If the search is to authenticate a claimed identity, the match is against one or possibly a few records associated with that claimed identity.

writer.close(); } catch (Exception e) { e.printStackTrace(); } } }

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If the claim is that the person is not enrolled (for example, the case of a person applying for a benefit such as a drivers license where possession of a current license precludes issuance of a new one), a so-called cold search is initiated In this case, the search can be limited by information external to the fingerprint such as gender or age range Likewise, the search can be limited by information derived from the fingerprint such as pattern type These types of information are sometimes called exogenous and endogenous information, respectively..

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Create a new servlet that will check for the session:

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