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Asprise Java OCR (optical character recognition) and barcode recognition SDK offers a high performance API library for you to equip your Java applications ...

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of all predecessors of v is denoted by pred(v) and the set {x V : evx E} of all successors of v, is denoted by succ(v) A vertex w is called ancestor of vertex v if there is a path p(w v) from w to v, and the set of all ancestors of v is denoted by ance(v) = {x V : p(x v) G} Logically, a vertex w is called descendant of vertex v if there is a path p(v w), and the set of all descendants of v is denoted by desc(v) = {x V : p(v x) G} In the latter case it is sometimes said that vertex w is reachable from v Obviously, all predecessors are also ancestors and all successors are also descendants Alternative notations are sometimes used when appropriate, for example, child or parent, given the analogy to the pedigree These are some examples from the directed graph in Figure 31(b): vertex x is a predecessor of v, which is a successor of u; hence, the set of predecessors of v is pred(v) = {u, x} The set of successors of w only comprises the single vertex x, succ(w) = {x} Finally, vertex u is an ancestor of w and v is a descendent of w, but also its ancestor As seen in the examples above, a vertex relation is not necessarily unique in a cyclic graph Lemma 32 (Vertex Relationships in Cycle) A vertex v belonging to a cycle path pc is for any vertex of the cycle, u pc , u = v, an ancestor and a descendant at the same time Proof The lemma follows directly from Lemma 31 and the notion of ancestor and descendant, since in a cycle pc , for every two vertices u and v, u, v pc , u = v, there are two subpaths p(u v) and p(v u) Based on the notions of predecessors and successors, two vertex types can be further distinguished in a directed graph De nition 35 (Source Vertex and Sink Vertex) In a directed graph G = (V, E), a vertex v V having no predecessors, pred(v) = , is named source vertex and a vertex u V having no successors, succ(v) = , is named sink vertex Alternative notations for source vertex and sink vertex are entry vertex and exit vertex, respectively The set of source vertices in a directed graph G is denoted by source(G) = {v V : pred(v) = } and the set of sink vertices by sink(G) = {v V : succ(v) = } 311 Computer Representation of Graphs For the complexity analysis of graph-based algorithms, in time and space, it is essential to consider the computer representation of graphs There are two standard ways to represent a graph G = (V, E): as a collection of adjacency lists or as an adjacency matrix (Cormen et al [42]).



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There is no pure Java OCR libraries that have something to do with accuracy. Depending on your budget you may choose something that is not ...

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Tesseract: Simple Java Optical Character Recognition - Stack Abuse
12 Aug 2019 ... Tesseract: Simple Java Optical Character Recognition ... It offers an API for a bunch of languages, though we'll focus on the Tesseract Java API .

where c1 and c2 are some positive constants and 0 < b < 1. Substituting Eq. (8.27) into (8.3) we get r m k $ 1 c m k 1 2 b 2c2 mk 2 b c2 m k 1 2 b 2c2 m2 b 2 as m 3 I:

1 k 1 2 b 2k 2 b k 1 2 b ; 2





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How to use OCR - java. Contribute to rahulsaraf/ java - OCR -example development by creating an account on GitHub .

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Tesseract OCR with Java with Examples - GeeksforGeeks
In this article, we will learn how to work with Tesseract OCR in Java using the ... Tesseract OCR is an optical character reading engine developed by HP ...

It means, according to the de nition (8.10), that process Y is asymptotically secondorder self-similar with parameter 0 < b < 1. j Corollary 8.3.5. If a random process ck;j i is a constant one, ck;j i ck;j for all i 0; 1; 2; . . . , then a process Y . . . ; Y 1 ; Y0 ; Y1 ; . . . de ned by Eq. (8.11), with nite mean m EYt < I and variance s2 Var Yt < I, will be asymptotically second-order self-similar with parameter 0 < b < 1, if Prft0;1 > kgE c2 jt0;1 > k $ const k 1 b ; 0;1 or Prft0;1 kgE c2 jt0;1 k $ const k 2 b ; 0;1 as k 3 I: 8:29 as k 3 I; 8:28

Figure 32 The adjacency list representations of the two graphs in Figure 31: (a) for the undirected graph and (b) for the directed graph

i k 1 b $ const k b ;

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I tried with PDFBox and it produced satisfactory results. Here is the code to extract text from PDF using PDFBox: import java.io.*; import ...

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tesseract - The definitive Open Source OCR engine Apache 2.0; ocropus .... to Tesseract. tess-two - Tools for compiling Tesseract on Android and Java API.

Now we should be able to use both the compiler and pre-veri er quite easily. However, before we proceed we should also add a couple of environment variables to make MIDlet creation a little easier. We need to direct the commands towards the MIDP API and the other J2ME classes. Therefore we should set the following variables:

as k 3 I:

Then from Theorem 8.3.4 it immediately follows that Y is an asymptotically secondorder self-similar process. Statement (8.29) can be proved in the same way. j

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8.4 ASYMPTOTICAL BOUNDS FOR BUFFER OVERFLOW PROBABILITY In this section we consider the process Y de ned by Eq. (8.11) as the input traf c of a single server queueing system with constant server rate equal to C and in nite buffer size. Suppose process Y has nite mean m EYt < C < I and nite variance s2 Var Yt < I. We will consider the particular form of the process Y . Namely, we consider the case when the random process ci;j t 1. Let Prft0;1 ig $ c0 i 2 b 8:30

as i 3 I, with 0 < b < 1. Then, according to Eq. (8.29) with c0;1 1, process Y will be asymptotically second-order self-similar with Hurst parameter H 1 b=2. Now we are interested in the queue length behavior. Let nt be the length of the queue at the moment t. Then we have nt max 0; nt 1 Yt C : 8:31

We will estimate the probability Prfnt > zg, that is, the stationary probability to nd, at moment t, the length of the queue bigger than z, for large value of z. For any given z, let us split the process Yt into two processes Yt 1 and Yt 2 , that is, Yt Yt 1 Yt 2 ;

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Sep 2, 2015 · This post shows how you can make a simple OCR app in Android using Tesseract. We will be using ... srcFile 'AndroidManifest.xml' java.srcDirs = ['src'] ... You can use following code sample from again Easy OCR Library

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Tess4J download | SourceForge.net
Download Tess4J for free. A Java JNA wrapper for Tesseract OCR API .












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