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There are several OCR (Optical Character Recognition) software solutions available to convert scanned images to text, Word, Excel, HTML or searchable PDF. The differences between them can often be obscure, leaving many to wonder why some OCR software cost about $100 while others cost $500 or more. Languages · Brands · Applications

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21) that the use of the generalized approach provides a recognition effectiveness gain GPSD in comparison with the PSD approach for arbitrary values of the correlation coefficient between the features and parameter a (except if, simultaneously, r = 0 and a = 1) The effectiveness gain depends upon nondimensional characteristics (ie parameter a and correlation coefficient), and not on the dimensional statistical characteristics of the features (ie conditional feature variances) When the correlation coefficient between the features equals zero (ie r = 0), Equation (2221) coincides with the appropriate expression in [1] The dependencies between the gain GPSD and parameters r and a are shown in Figures 221(a) and (b) We find from Equation (2221) and Figure 221 that: 1 The effectiveness gain in Equation (22.



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Comparison of optical character recognition software - Wikipedia
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Notice that the length of the text() XMLList is 3, and three lines are printed when displaying this text. Normalizing will merge these three text nodes into one.

where El = Kt-1 is the ending point of the chain of encryptions of length t . Note that Trudy uses the ciphertext generated at one step as the key for the next step. Since the block size and the key size are identical, this works. Figure 4.4 illustrates this the process of generating a chain of encryptions from S P to E P . To construct such a chain requires no knowledge of the inner workings of the block cipher. The only fact we have used here is that the block size and the key size are the same, but the process is easily modified if this is not the casc.

example.normalize(); trace(example.text().length()); //1 trace(example.text().toXMLString()); //shemp





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Typically, nodes are normalized during parsing and many E4X operations. Only when multiple text nodes are intentionally added, as in the preceding example, will the normalize() method be used.

Figure 4.4: A chain of encryptions. Another view of an encryption chain is given in Figure 4.5. Here, we have illustrated the chain as a path in the keyspace of the given block cipher. Continuing with the example above, Trudy will generate m encryption chains, each of length t . Now suppose that Trudy computes m = 232 encryption chains, each of length t = 232, and none of the resulting chains overlap. This is unrealistic, since the chains essentially select elements o f t>hekeyspace

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The subject of loading data from servers is more involved than can be covered in a chapter on XML. I give loading remote data its due in Part VI, External Data, but here s a teaser that should get you loading and parsing XML les from a web server in short order. Loading XML in ActionScript 3.0 is just like loading any text, as shown in Example 11-3. You use a URLLoader with a URLRequest to fetch the text, and when it s loaded, you convert the text to XML, as described in the earlier section Converting XML to strings.

21) increases as the correlation coefficient r departs from zero for arbitrary values of the parameter a; for a = 1 (ie when the variances of the features in Equations (221) and (222) are equal), the gain can be presented as GPSD = r 2 + 1 2 The effectiveness gain in Equation (2221) increases as the parameter a departs from unity for arbitrary values of the correlation coefficient Now we estimate the effect of the approach generalization, ie the effect of accounting for the feature covariance, on the recognition effectiveness of features in Equations (221) and (222) while estimating the likelihood ratio We use the relative effectiveness criterion: F (22.

EXAMPLE 11-3

at random, but this assumption allows us to easily illustrate the concept behind Hellman s TMTO (below we consider a more realistic scenario). Then each of the 264 keys lies within one exactly one chain. This idealized situation is illustrated in Figure 4.6.

package { import com.actionscriptbible.Example; import flash.events.Event; import flash.net.URLLoader; import flash.net.URLRequest; public class ch11ex3 extends Example { public function ch11ex3() { var url:String = "http://actionscriptbible.com/files/hand.xml"; var loader:URLLoader = new URLLoader(new URLRequest(url)); loader.addEventListener(Event.COMPLETE, onLoadComplete); } protected function onLoadComplete(event:Event):void { var loader:URLLoader = URLLoader(event.target); var loadedXML:XML = XML(loader.data); trace(loadedXML.toXMLString()); } } }

You can replace the URL in this example with the location of your data. When the loader is done loading, the onLoadComplete() method is called, which converts the data loaded by the loader into XML. From this point, you can use loadedXML the same way you ve used any other XML data in this chapter.

Figure 4.6: Trudy s ideal scenario. Only the starting points and ending points of the chains are savec., that is, Trudy stores

XML instances let you inspect meta-information about the XML data they contain. This can be useful when automating the processing of XML objects. You can use methods to nd the type of node and the type of content a node contains: either simple or complex.

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