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java tesseract ocr example: Jun 18, 2015 · A Java OCR SDK Library API allows you to perform OCR and bar code recognition on images (JPEG, PNG, TI ...



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Tesseract OCR – opensource .google.com
Tesseract is an OCR engine with support for unicode and the ability to recognize more than 100 languages out of the box. It can be trained to recognize other ...

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Tesseract: Open-source OCR library for Java. September 7, 2013. Weeks ago I was given a task to read values from an e-commerce website. The idea was ...

Another notion widely used in the context of parallelism is that of granularity By saying, for example, a program is coarse grained, it is meant that the distinguishable chunks of the program, in other words the subtasks, are large considering the size of the entire program Typically, the granularity of a program is informally differentiated between small/ ne, medium, and coarse grained Granularity can also be understood as the relation of the data transfer to the computational work of a program object For instance, a small amount of computational work in comparison to the data transfered is considered to be small grained Although all this is a rather informal de nition of granularity, its utilization in the literature is quite usual With the aid of a graph model, however, granularity can be de ned formally, which is done in Section 443 Until then, the notion of granularity will be used in the usual sense of comparing the computational size of objects 242 Decomposition Techniques Grama et al [82] describe several decomposition techniques: data, recursive, exploratory, and speculative decomposition While this is not a complete list of decomposition techniques, it comprises commonly used techniques Data decomposition and recursive decomposition are general-purpose techniques, while exploratory decomposition and speculative decomposition are more specialized and only apply to certain classes of problems Their structural approach is similar to recursive decomposition In practice, it also happens that these techniques are combined in what might be called hybrid decomposition Data Decomposition In data decomposition, the focus is on the data rather than on the different operations applied to the data This technique is powerful and commonly used for programs that operate on large data structures, as often found in scienti c computing In terms of Flynn s taxonomy (Section 21), this method corresponds to SIMD The data is partitioned into N usually equally sized parts, whereby N depends on the desired degree of concurrency If there are no dependences among the operations performed on the different parts, these N parts can be mapped onto N processors and executed in parallel In other words, the degree of concurrency is N Figure 216 illustrates the example of a data decomposition applied to the matrix vector multiplication A b = y, with N = 4 The four tasks that result from this decomposition are independent; for example, task 1 calculates y[i] = n A[i, j]b[ j] j=1 for 1 i n/N and task 2 for n/N + 1 i 2n/N Data decomposition can be differentiated further by the way the data is partitioned The partitioning can be applied to the output data, input data, intermediate data, or a mixture of them In the earlier matrix vector multiplication example, the output data is completely partitioned and the input data is partially partitioned (matrix A is partitioned, vector b is not) Recursive Decomposition This decomposition technique uses the divide-andconquer strategy A problem is solved by rst dividing it into a set of independent subproblems Done recursively, a tree structure of subproblems is created as depicted.



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Dec 9, 2014 · The new Optical Character Recognition (OCR) library from Microsoft is a performant nuget package to recognize ... The library is a Windows Runtime Component and can be used from . ... can I use this library with Java code.

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API to read text from Image file using OCR - Stack Overflow
I am looking out for an example code or API name from OCR ( Optical character recognition ) in Java using which I can extract all text present ...

To test this, and to investigate the form of z q in general, the qth-order scaling exponent aq z q q=2 can be estimated in the qth-order logscale diagram for a variety of q values, and then the q dependence examined in the following tool:.

pij eybj ;

17:40

.

where bij is the required bandwidth and pij is the steady-state probability of level j in source i, as in Eq. (17.32). Thus, P L t ! x e I x ; where I x sup yx

17:41

private static long factorialR(int value){ if(value < 2) return 1L; else return value*factorialR(value - 1); }

It can be shown [11] that such bounds are asymptotically tight (have a large deviation limit) as the number of sources increases, provided the spectrum of





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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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used by the active processor, but the memory access must be performed without the involvement of the passive processor For example, Cray T3E uses special registers for remote memory access (Culler and Singh [48]) Third-Party In third-party interprocessor communication, the data transfer is performed by dedicated communication devices, as illustrated in Figure 81(c) The communication devices must be able to directly access the local and the remote memory without involvement of the processor (ie, it must possess some kind of a direct memory access (DMA) engine) The processor only informs the communication device of the memory area it wants transferred and the rest of the communication is performed by the device Thus, the communication overhead on the processor takes approximately constant time, independent of the amount of data to be transferred All devices together comprise the communication subsystem of the parallel computer, which autonomously handles all interprocessor communication Examples for machines that possess such subsystems are the Meiko CS-2 (Alexandrov et al [9]) or the IBM SP-2 [96] The IBM Blue Gene/L (van der Steen and Dongarra [193]) has two identical PowerPC processors per module, but it can be con gured to employ one of them as either a communication processor or a normal processor for computation In the former case, one processor acts like a third-party communication device for the other processor It is important to realize that a processor engaged in communication cannot continue with computation The charts of Figure 81 illustrate this by placing the involvements ( send/receive, get/put ) onto the time lines of the processors On the contrary, in third-party communication it is the device, not the processor, that is occupied during the communication process Task scheduling, under both the classic model and the contention model, assumes the third-party type of interprocessor communication (Property 4 of De nitions 43 and 710) Consequently, the produced schedules overlap computation with communication; that is, a processor executes tasks while data is entering and leaving However, this overlap can only exist on systems with a dedicated communication subsystem On other systems, those that perform one- or two-sided communication, the produced schedules are unrealistic and thereby inappropriate The experiments referenced in Section 754 demonstrated the negative consequences on the accuracy and the execution times of the schedules Among the communication types an order can be established regarding the degree of the processor involvement: two-sided, one-sided, and third-party While the type of communication is restricted by the hardware capabilities of the target system, the software layer employed for interprocessor communication can increase the degree of involvement For example, in a shared-memory system, communication can be one sided, but the software layer might use a common buffer, which turns it into twosided communication (see two-sided above) This effect is not uncommon, as shown by the analysis of MPI implementations on common parallel systems by White and Bova [199] It becomes important, since MPI is the standard for message passing and message passing is the dominant programming paradigm for parallel systems Furthermore, almost all of today s parallel applications are written using a higher level.

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You can use. http://tess4j.sourceforge.net/ · https://sourceforge.net/projects/​javaocr/. I have used tesseract (first option) and found that it is quite ...

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Using Tesseract OCR to extract scanned invoice data in Java web ...
4 Aug 2015 ... Optical character recognition ( OCR ) is not an easy problem. It is a process for extracting textual data from an image. OCR is a field of research ...

behavior of individual sources is suf ciently regular, yielding the exponential approximation P L t ! x % e I x : 17:42

Finding the rate function I will in general require numerical solution of the variational expression (17.41). It can be shown that the right-hand side (RHS) of Eq. (17.41) is a concave function of y, and under mild conditions it is differentiable also. Hence, the supremum is achieved at the unique solution y to the Euler Lagrange equation P

17:43

Figure 82 Decomposing of the processor s participation in communication into overhead and direct involvement

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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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Jun 6, 2018 · 2.3.​​ Finally, we use OpenCV to read in the image, and pass this image to the OCR engine using its SetImage method. The output text is read out using GetUTF8Text(). tesseract::TessBaseAPI *ocr = new tesseract::TessBaseAPI(); // Initialize tesseract to use English (eng) and the LSTM OCR engine.












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