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Emgucv optical character recognition (OCR) detecti
no vote
Application background OCR ( optical character recognition)   is the mechanical  or electronic  conversion of images  of typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements, computerized receipt
ayeshahaque
2016-08-23
0
1
Face detection, using emgucv
no vote
Application background Face detection  is a computer technology that identifies human faces in digital images. It detects human faces which might then be used for recognizing a particular face. This technology is being used in a variety of applications nowadays. please review my codes Key Technology Haarcascade is used with Emgu cv.  Emgu CV  is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and
ayeshahaque
2016-08-23
0
1
Using CV emgu shape detection
3.5
Application background Firstly transform, and Contours algorithm were implemented in detail, respectively. Can combine all I have learned to detect the edges, lines, circles, triangles, and rectangles in an image. Key Technology Emgu CV  is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices..
ayeshahaque
2016-08-23
0
1
Eye detection
no vote
Application background Eye detection and tracking is integral for attentive user interfaces. Towards this end, we are working on a low cost, reliable eye tracker. We also use eyes to extract higher level features such as faces and blink rates. We are currently working on interfaces that use this high level information to more effectively support the interaction. Finding a good threshold for different environments is hard. Picking a bad threshold yields too many false positives. We use the physiological properties of eyes, their appearance and dynamics to detect and track eyes reliably. Only regions that reflect light back, look like, and move like eyes are tracked. Key Technology I have used Emgu CV with c#. Haar cascade ( Ha
ayeshahaque
2016-08-23
2
1
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