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16 Apr 2019 ... The image must be presented in JPEG, PNG, BMP, PDF , or TIFF format. ... Computer Vision's optical character recognition ( OCR ) API is similar ... The authors assumed a network operation model in which every sensor periodically sends its data report to the base station The network is required to cover a number of points of interest for the longest time The average energy consumption per data collection round is used as a metric for measuring the sensor s lifetime The problem is then transformed to minimizing the average energy consumption by a sensor per round by balancing the load among sensors The idea is to spread the responsibility of probing the points of interest among the most number of sensors and to carefully assign relays so that the data are disseminated using the least amount of energy A heuristic was proposed that tries to relocate sensors in order to form the most ef cient topology First, sensors are sorted decently according to the point of interest that they cover. azure ocr pdf: Learning to Read: Computer Vision Methods for Extracting Text from ... azure ocr engineLanguage support - Translator Text API - Azure Cognitive Services ...
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28 Mar 2019 ... I have been getting some good feedback on Azure's Computer Vision API, in particular, the OCR functionality. Although I am not working on any ... azure computer vision ocrFeb 19, 2019 · Tesseract will return results as plain text, hOCR or in a PDF, with text ... Abbyy Cloud, Google Cloud Vision and Azure Computer Vision are ... 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Extracts a string and its information from an indicated UI element or image by using the Microsoft Azure Computer Vision OCR engine. It can be used with other ... azure cognitive services ocr exampleOct 21, 2018 · In this article we saw how to use the Blob storage service and the Search Service with OCR enabled in Azure. In the upcoming article we will ... .net core ocr library: This example demonstrates the use of Optical Character Recognition (OCR) to extract text. // from scanned PDF documents ...
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