Sentence examples for detected text from inspiring English sources

are output as the detected text regions.

I would develop location aware applications, like auto translate of detected text, information on objects seen etc. [link].

Due to the low performance of Optical Character Recognition (OCR) engine in outdoor settings, we develop a keyword-based positioning algorithm that can work even with partial errors in the detected texts representing business names.

In recent years, significant progress has been made in detecting text in scene images.

In this paper, we propose a novel method, which is based on exhaustive segmentation, to detect text in scene images.

In such scenarios, the color reduction is unable to detect text properly (see missing 'Clairefontaine' text in Figure 2c).

The service now also features improved syntax analysis, which allows it to detect text features like number, gender, person and tense.

Success Rate corresponds to the classification rate, meaning the percentage of which the classifier detects text and non-text blocks correct.

In this article, we propose a novel stroke width transform (SWT) voting-based color reduction method for detecting text in natural scene images.

The service detects text links on a webpage to automatically surface an image-centric link — which includes details of price, description, ratings and shipping information — and tempt readers into purchasing the item.

Rosetta makes use of recent advances in optical character recognition (OCR) to first scan an image and detect text that is present, at which point the characters are placed inside a bounding box that is then analyzed by convolutional neural nets that try to recognize the characters and determine what's being communicated.