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Dec 3, 2018 · SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for ...

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Tesseract OCR Tutorial for iOS | raywenderlich.com
20 May 2019 ... OCR is the process of electronically extracting text from images. ... First, you'll have to install Tesseract OCR iOS via CocoaPods, a widely ..... on this tutorial, Tesseract or OCR strategies, feel free to join the discussion below!

Do the questions provide suf cient information for the time it takes the test taker to respond, and leave time so that I can ask more questions to ensure con dence in the decision made using their scores Can I evaluate the responses consistently, quickly, and accurately By following the principled design sequence, test developers become more than subject matter experts They now participate in the realm of test engineers and software architects The answers to the questions above should provide the speci cations for assessment task design Among the speci cations that can result from a principled design are the tools (exhibits, calculators, spreadsheets, word processors, search engines, etc) that need to be available to the test taker to provide the necessary information, limitations on the length of the task based on the amount of information to be generated from it, the range, breadth, and depth of content that is appropriate for the task, and the rubrics, keys, and rules to evaluate of the response (single key, lists of acceptable keys, algorithms, etc) In other words, principled design will produce assessment templates that both enable and constrain test development A principled design can also provide standardized speci cations for the tools For example, there may be suf cient overlap across different nancial situations that several entire classes of tasks can all be supported by one, two, or three standard spreadsheet templates Properly designed, these templates would be large enough to allow the creation of useful measurement tasks, but would ensure that the test developer does not introduce unnecessary and time-consuming complexity into the task Bene ts from this design process should be decreased complexity of task development, increased quality and consistency across tasks, which aids both the developers and the candidates, known task characteristics (eg unidimensional or multidimensional), known response characteristics, comprehensive scoring speci cations, and reduced costs of both development and scoring An important intended longer-term bene t from a rigorous principled design is the development of tasks with known statistical properties Once the features of the task have been stabilized and the essential format of the item or task has been administered to test takers, the empirical dif culty of scored elements can be estimated An example of the usefulness of collateral information in the prediction of statistical properties of new items is available from Keller (2002) These estimates could be useful in scoring (or calibration with smaller samples) when new tasks are based on the same template Such a result would dramatically reduce the time between the development of a task and its use in an operational test (by eliminating he need for pretesting or post-administration analyses) and allow faster scoring and reporting Additional bene ts of a principled design include automated, or semiautomated, task generation and review, thus further reducing development time and expense (see, eg, Brittingham et al, 2000) In order to meet consumer needs, performance exercises of the future will need to measure a combination of skills and content, be template based, and.



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came across an interesting link: http://iphone.olipion.com/cross-compilation/​tesseract-ocr. i would update on my progress.

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garnele007/SwiftOCR: Fast and simple OCR library written ... - GitHub
SwiftOCR. SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural ... We currently support iOS and OS X. ... NOTE: This software depends on other packages that may be licensed under different open source licenses.

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Sep 12, 2019 · In iOS 13, Apple introduced several new APIs for the Vision framework. In this tutorial, we'll explore these APIs and see how to perform text ...

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Tesseract OCR Tutorial for iOS | raywenderlich.com
20 May 2019 ... Swift 5, iOS 12 , Xcode 10. Update note: Updated for Xcode 10.2, Swift 5, iOS 12.1 and TesseractOCRiOS (5.0.1). We at raywenderlich.com ...

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GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.​ ... ocr swift ocr-library optical-character-recognition ocr-engine ios macos.​ ... It uses a neural network for image recognition.

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chapter, concern with technical problems correlated more highly (r 0:50) with reluctance to submit information over the Internet Moreover, on average, respondents were rather neutral about privacy, indicating modest concern with regard to misuse of employment-related information they submitted over the Internet As expected, Harris et al found some signi cant relationships between self-rated knowledge of the Internet and concern for privacy The direction of these relationships, however, differed for the US and Belgian sample In the US sample, respondents with more knowledge of the Internet were less likely to indicate that companies needed to get approval from applicants to release information For the Belgian sample, the reverse was true; the more knowledge of the Internet the respondent had, the more likely he or she felt that a company needed approval For the US sample only, more knowledge of the Internet was associated with less concern about using the Internet to submit employment-related information There are a number of issues here for future investigators to consider First, we need much more research on the effects of privacy concern on test-taker responses In other words, does concern over privacy affect how examinees answer test questions I suspect that when there are privacy concerns some kinds of test may be more susceptible to distortion than other tests For example, it seems likely that inquiries regarding sensitive topics, such as political beliefs, may be answered differently if a candidate has concerns as to whether other organizations may view the results In turn, this may affect test validity Second future research should investigate the role of culture on privacy notions Based on the work of Harris et al (2003), the next step would be to measure culture to determine whether this explains differences in privacy perceptions (Milberg, Smith, & Burke, 2000) Third, more research is needed regarding the antecedents (eg organizational reputation) and correlates (eg belief in the just world hypothesis) of privacy concerns Finally, there is an opportunity here for researchers to re ne and update the Stone Stone (1990) model to t the more speci c context of Internet-based testing in the workplace.

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It is because test results tend to impact ndirectly on outcomes and because their effects are mediated through reporting processes, assessment policies and their combination with other information that the simple psychometric concepts of validity have limited value in applied settings The latest Standards on Psychological and Educational Testing (AERA/APA/NCME, 1999) acknowledge this in Standards 122 and 123 with the concept of consequential validity This is an issue to which far more attention needs to be paid in the future in understanding some of the difference between the science and the practice of testing. Barcode Encoder In Java Using Barcode printer for Java .Related: Create Intelligent Mail .NET

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One of the greatest obstacles to introducing complex testing models in operational testing programs is obtaining public acceptance Despite signi cant emphasis on testing throughout the developed world, stakeholders are usually not well informed about even basic psychometric practices As a result, test takers and even executives responsible for promoting policy that will impact testing programs often have generally na ve perceptions of how testing actually works A common perception encountered among stakeholders is the misconception that standardized testing means that all test takers take the same test under the same circumstances Many people view even the long used tool of equating traditional tests with skepticism when they rst learn that different people take different tests The notion that two test takers could receive the same reported score even if they answered a different proportion of questions correctly on different forms of a test is initially counter-intuitive Any perception of unfairness raised by these impressions is heightened when the concept of adaptive testing, or modern approaches to scoring, is introduced A key public relations issue for the AICPA during the development of its CBT was explaining test administration, assembly, and scoring in such a way as to dispel misconceptions The computerized administration makes use of a multi-stage testlet (MST) design (based on the work of Luecht & Nungester, 1998, and described by Luecht, Brum eld, & Breithaupt, 2002) The AICPA selected this design for a variety of reasons, including the expected bene t of precision with shorter test lengths and good diagnostic information Sets of ultiple-choice questions (testlets) are administered together There are testlets of different dif culty available during the test experience and the administration of moderate or dif cult testlets depends on the performance of the test taker up to that point in the test The selection of this semi-adaptive design (routing occurs at two points during the test) was desirable because the MST offers test takers a chance to review and revise answers within a testlet,.

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Jul 16, 2018 · Now, with advances in machine learning and vision recognition in iOS, this is doable.​ ... For reference, OCR stands for Optical Character Recognition — the process of converting images to readable text.​ ... Vision Framework: Building on Core ML - WWDC 2017 - Videos - Apple Developer.

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Nov 24, 2016 · SwiftOCR is available through CocoaPods. To install it, simply add the following line to your Podfile: pod 'SwiftOCR'. If you ever used Tesseract ...












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