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kba/awesome-ocr: Links to awesome OCR projects - GitHub
tesseract - The definitive Open Source OCR engine Apache 2.0; ocropus .... to Tesseract. tess-two - Tools for compiling Tesseract on Android and Java API .

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Tesseract: Open-source OCR library for Java
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 ...

The challenges of developing and delivering a computer-based simulation of the patient management environment were signi cant, but this was only part of the effort required to produce a useful assessment tool In order for the system to be useful for licensure evaluation, it had to be possible to quantify examinee responses as an indication of pro ciency: it was not only necessary to collect meaningful examinee responses; it was necessary to score them During much of the period in which Primum was being developed, effort was also underway to create scoring procedures The evolution of these procedures was associated with dramatic changes; four conceptually different systems were developed Each of these scoring procedures required that the simulation system be able to capture examinee responses and compare them to a key The procedures differed in which information was used to calculate the scores and how that information was aggregated The simplest and earliest procedures were based on the scoring approaches that had been applied to PMPs administered on paper Although there were many variations on this theme, the basic approach is that examinees are given points for selecting keyed actions that were identi ed as bene cial for management and points are lost for ordered actions that are non-indicated and may be dangerous to the patient The main problem with this approach was that test-wise examinees could sometimes achieve adequate scores by ordering non-intrusive procedures and avoiding potentially risky procedures Adequate scores did not necessarily re ect adequate management A second scoring procedure that was examined applied the Rasch model to the response patterns based on the key (Julian and Wright, 1988) More than any of the others, this approach is purely data driven It provided an implicit weighting for items based on the likelihood that examinees of a given pro ciency level would order those actions Both of these approaches were limited by the fact that the resulting scores may not show a strong correspondence to the judgments that expert clinicians would make if they eviewed the associated examinee performances The nal two scoring approaches that were studied share in common the fact that they are both explicit efforts to model that expert judgment Again, both approaches begin with items that could be quanti ed based on a kind of key Content experts reviewed case material and identi ed actions that would be bene cial for the given case presentation This de nition of bene cial was process rather than outcomes based in that bene cial items were those that would be appropriate for patients with a given presentation For example, diagnostic tests that would rule out reasonable differential diagnoses may be considered as bene cial as those that would identify the speci c problem that would ultimately prove to be the correct answer In addition to identifying those actions that would be considered bene cial, content experts categorized the non-indicated actions based on their level of potential risk to the patient (or level of invasiveness) These latter two procedures differed in terms of how the scored actions were combined to create an aggregate score The rst of these procedures used linear regression For this.



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text - recognition · GitHub Topics · GitHub
Updated 29 days ago; 393 commits; Java ... Android application that uses Machine Learning, Text Recognition API and Google Custom Search Engine in order ...

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Easy integration of OCR features into your application thanks to the SDK documentation. Our Technical Support and Professional Service teams are ready to ...

In the case of the Assassin's threads, an apparent problem in the Security Manager (only addressed recently by Java 2) allows the Assassin threads to attack thread groups that belong to applets other than their own It waits for the target threads from Gamelan to appear and only then initiates hostile activity Applets like the Business Assassin will certainly have a chilling effect on Web-based commerce Even if applets that use never-ending threads are not used for annoying things like these, they still have the potential to be used for information gathering If an applet can spawn a monitoring thread, there is no reason that it could not report information it finds interesting back to its server Such information could include lists of sites a user has visited, files that he or she has downloaded, the names of other competing applets run, or a host of other things.





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Apr 13, 2018 · The Microsoft API offers two OCR endpoints: OCR from image file and OCR from image URL. Both endpoints work the same, with the different ...

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Simple Tesseract OCR — Java - Rahul Vaish - Medium
14 Jun 2018 ... Simple Tesseract OCR — Java . Step#1: Download tessdata [eng.traineddata] Step #2: Get a sample image (Grayscale converted) with something written on it. Step#3: Add the below dependency in the pom.xml- Step#4: Write the below code snippet to perform OCR - Step#5: On executing the above code, the output is displayed on ...

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How to convert scanned images to searchable PDF using OCR in Java
In Version 2015 R3 of XtremeDocumentStudio (for Java), we introduced a document digitization feature. This is one of the features that many of customers have ...

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A second part to this question is: If dividend-paying capacity should be capitalized, how Does a dollar of dividend that could be paid, but is not paid, have a value to the minority interest investor equal to a dollar of dividend that is actually paid One reasonable procedure is to capitalize actual dividend payments at the same rate as the guideline companies and capitalize unpaid dividendpaying capacity (the excess of the capacity to pay dividends over the actual dividends paid) at half the multiplier derived from the guideline companies This procedure recognizes that the minority interest investor does bene t from that unpaid dividend-paying capacity because the company builds its equity base faster than it would if such dividends were paid However, it also recognizes that the bene t is not as direct nor as immediate as the actual payment of dividends (e) JUDGMENTAL MODIFICATION OF THE VALUATION RATIOS These market value ratios provide useful valuation guidelines However, they are nothing more than guidelines and must inevitably be combined with the appraiser s judgment in arriving at a sound valuation conclusion The appraiser must, after careful consideration of all relevant factors, come to one of three possible conclusions: 1 Investors would nd the subject company to be more attractive than the group of guideline companies (In this case, a premium must be added to the median valuation ratios) 2 Investors would nd the subject company to be less attractive than the guideline companies (In this case, a discount from the median valuation ratios is required) 3 Investors would regard the subject as being neither more nor less attractive than the group of guideline companies (In this case, the use of the median ratios would be appropriate) This decision requires a careful comparative analysis of the subject company and the guideline companies in terms of both qualitative and quantitative differences In addition to the basic nature of the product, qualitative considerations may include such factors as market position, geographic, product, and market diversi cation, patent protection, depth of management, research and development capabilities, and many others Often, but by no means always, public companies are larger and more diversi ed, and have more professional management When hey are used as guideline companies for the valuation of a smaller, weaker, less diversi ed company, a judgmental adjustment to the valuation ratios may be necessary However, in making these judgmental adjustments, care must be taken to avoid counting the same trick twice For instance, in valuing a company with low earnings, one should not take a discount for poor management, if it is the poor management that causes the low earnings That would obviously be doubling up In terms of quantitative differences, the appraiser should rst look to long-term trends and outlook for sales and income Place the sales and income of each of the guideline companies on an index basis, selecting a base period that is not affected by abnormal factors Determine the median sales index of the group of guideline companies and compare it to the company being valued Charts of these comparisons are particularly helpful Differences in trends may be properly re ected in the valuation procedure through the use of a weighted average However, a pronounced long-term inferiority of sales trend, and particularly of income trend, may require a further discount to the valuation ratios derived from the guideline companies Conversely, a decided long-term superiority of trends may require an upward adjustment to those valuation ratios The appraiser should also look to the factor of variability A company with high variable earnings is less attractive to investors than a company with a stable earnings trend However, be careful in comparing the trend of earnings of a single company to that of the group average or median The averaging process tends to have a stabilizing in uence, and it may therefore be desirable to make a comparison on an individual company basis A comparison of nancial ratios is also recommended This should include the current ratio (current assets divided by current liabilities), liquidity ratio (current assets as a percentage of total assets), and leverage ratios (total liabilities as a percentage of total assets and net worth as a.

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Free OCR API - OCR .space
The OCR API takes an image or multi-page PDF document as input. ... Response ; Searchable PDF ; Code Examples; C#; C++/QT; cURL; Java (Android app) ...

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Android SDK for the Microsoft Computer Vision API, part of Cognitive Services. ... The client library is a thin Java client wrapper for the Computer Vision API. ... It demonstrates image analysis, Optical Character Recognition (OCR), and smart ...












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