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IRIS Mobile OCR SDK enables developers to easily integrate imaging features ... pictures and images into indexed and editable documents for iOS and Android.

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Dec 30, 2017 · For this week's write-up we will create a simple Android app that uses Google Mobile Vision API's for Optical character recognition(OCR).

research is twofold: (1) we show how DEA can be used as a methodology to screen training cases, where forecasting models are subject to the managerial monotonicity assumption; and (2) we show how ANNs can be applied to forecast the number of employees in the healthcare industry Empirical studies are conducted to compare the predictive performance of ANNs ith learning from a set of DEA-based selected training cases, DEA-based rejected training cases, and a combined set of DEA-based selected and rejected training cases We use the publicly available data from healthcare facilities in Pennsylvania to learn about and predict the number of employees based on a set of predictor variables DEA was a technique introduced for comparing ef ciencies of decision making units (DMUs) The basic ratio DEA model seeks to determine a subset of k DMUs that determine the envelopment surface when all k DMUs consist of m inputs and s outputs The envelopment surface was determined by solving k linear programming models (one for each DMU), where all k DMUs appear in the constraints of the linear programming model ANNs have been applied to numerous nonparametric and nonlinear classi cation and forecasting problems In an ANN model, a neuron is an elemental processing unit that forms part of a larger network There are two basic types of ANNs: a single-layer (of connections) network and a double-layer (of connections) network A single-layer network, using the perceptron convergence procedure, represents a linear forecasting model A modi cation of the perceptron convergence procedure can be used to minimize the mean-square error between the actual and desired outputs in a two-layer network, which yields a nonlinear, multivariate forecasting model The backpropagation learning algorithm, most commonly used to train multilayer networks, implements a gradient search to minimize the squared error between realized and desired outputs Figure 33 shows a three-layer network that can be used for multivariate forecasting The number of input layer nodes corresponds to the number of independent variables describing the data The number of nodes in the hidden layer determines the complexity of the forecasting model and needs to be empirically determined to best suit the data being considered While larger networks tend to over t the data, too few hidden layer nodes can hinder learning of an adequate separation region Although having more than one hidden layer provides no advantage in terms of forecasting accuracy, it can in certain cases provide for faster learning The network is initialized with small random values for the weights, and the backpropagation learning procedure is used to update the weights as the data are iteratively presented to the input-layer neurons The weights are updated until some predetermined criterion is satis ed The number of hidden layer neurons is chosen as twice the number of data inputs, a commonly used heuristic in the literature Heuristics of the more the better could be used as a guide to select the number of hidden nodes in an ANN Furthermore, a network with a higher number of hidden nodes can always be considered as a special case of the network, with additional nodes (in the case of an ANN with a higher number of hidden nodes) having connection weights taking values equal to zero.



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Text Recognition for Android using Google Mobile Vision - Medium
30 Dec 2017 ... For this week's write-up we will create a simple Android app that uses Google Mobile Vision API's for Optical character recognition (OCR).

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Detect Text from Image in Android with Google Mobile Vision API
May 4, 2018 · What if android could read text like us?​ ... Now it is very easy with the help of Google Mobile Vision API which is very powerful and reliable Optical character recognition(OCR) library and work most of the android device.​ ... Mobile Vision API has some dependencies.

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i2OCR is a free online Optical Character Recognition (OCR) that extracts Arabic text from images so that it can be edited, formatted, indexed, searched, ...

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Simple OCR implementation on Android with Google's ML Kit - By ...
New technologies are evolving rapidly. Some of the newest solutions are gaining popularity every day. Optical Character Recognition ( OCR ) is nothing new, but ...

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Text Recognition for Android using Google Mobile Vision - Medium
30 Dec 2017 ... The Mobile Vision Text API gives Android developers a… ... app that uses Google Mobile Vision API's for Optical character recognition( OCR ). ... also be used for live face detection and face tracking along with bar code scanning capabilities. ... Android · Text Recognition · Android App Development · Tutorial  ...

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Feb 19, 2015 · Until today, OneNote only supported OCR in the Windows desktop ... Whether you're using OneNote for Windows, Windows Phone, Android phones and ... Before today, OneNote handwriting and drawing was available on ...

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Sep 11, 2017 · This video is about how to convert Bangla Image to Text without any thirdparty software. Now-a ...Duration: 6:36 Posted: Sep 11, 2017

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May 4, 2018 · Now it is very easy with the help of Google Mobile Vision API which is very ... recognition(OCR) library and work most of the android device…












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