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

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The Cloud OCR API is a REST-based Web API to extract text from images and convert scans to searchable PDF . Free OCR software as a hosted service and as  ...

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Decoding UPCA In NET Framework Using Barcode reader for The less formal approach is to make adjustments directly, through intuition and discussions among the expert panel signi cant hazard to this informal approach is that it exacerbates the anchoring bias discussed below Nonetheless, experts often nd direct, intuitive adjustments reasonable The more formal procedure is to use Bayes Theorem to update the base frequency Bayes Theorem provides a calculation procedure for formally combining prior probabilities (that is, base rates) with other information that can be captured in likelihood functions (that is, conditional probability statements) To apply Bayes Theorem, rst features are identi ed which distinguish the current project from those in the catalog Then, estimates are made of the conditional probability of these features being associated with a project performing adversely, and correspondingly the conditional probability of those features being associated with a project not performing adversely.

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The ratio of these two conditional probabilities, the likelihood ratio, is multiplied by the ratio of the base rate frequency and its complement (that is, one minus the base rate) to obtain an updated odds ratio While, in principle, Bayes Theorem provides a vehicle for quantitatively updating a base rate for project speci c factors, in application it requires that the reliability of indicator factors be known in both a false-positive and false-negative way, which is often dif cult to assess Consider again the uncertainty surrounding the possible existence of a fault of modest size in the foundation of a proposed dam site Presume that in the experience of the expert panel, the incidence of such faulting is about 02 with projects in similar geology That is, the base rate, as a rst approximation, is p(fault) = 02.

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In the present project, however, a reasonable number of borings has failed to detect faulting How should the base rate be adjusted The base rate can be updated from Bayes Theorem, expressed as odds (ie the ratio the probability in favor to the probability against, p/(1 p)): p(faulting|data) p(faulting) p(failed to nd|faulting) = 1 p(faulting|data) 1 p(faulting) p(failed to nd|no faulting) (211)Related: EAN-8 Generation NET , NET UPC-E Generation , ISBN Generating NET.

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As I know, Yunmai Technology OCR library may be a good choice for you. Yunmai Technology is also a professional developer of (Optical Character ...

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Apr 17, 2014 · If you search for Java and OCR you will variously find: Tesseract (http://tess4j.sourceforge.net/). This is a de facto standard, BUT it's C(++) wrapped in Java. That will be a nightmare to redistribute.












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