image-recognition

Could you recommend some python libraries or source code for OCR and handwritten character recognition? Have you tried pytesser ? 来源： https://stackoverflow.com/questions/1708779/python-ocr-library-or-handwritten-character-recognition-engine

I have some photos of white pages with some black points drawn on, like this: photo (the points aren't very circular, I can draw them better), and I would find the coordinates of these points. I can binarize the images (the previous photo binarized: image ), but how can I find the coordinates of these black points? I need only the coordinates of one pixel for each point, the approximate center. This is for a school assignment. The basics for processing image data can be found in other questions , so I won't go into deeper detail about that, but for the threshold check specifically, I'd do it

I was asked to recognize logo in an image using opencv. The lecturer told me that I don't have to do logo detection but logo recognition only. I am using opencv in c++. Can I know the easiest way to do it?? Ps: newbie in computer vision. Miki It largely depends on your kind of images. If your logo occupies say 90% of the image, you don't need detection, since you are probably good with color histograms. If the logo is small compared to the image, you should "find" the logo, in order to focus your comparison on that and not on the background clutter. There could be multiple logos on the same

I'm looking for a Java framework to help with some data mining specific to images. We have a set of historical images that I would like to categorize and classify. I'm was hoping to find something like weka http://www.cs.waikato.ac.nz/ml/weka/ or Marsyas http://marsyas.sness.net but more specific to sifting through image data to find patterns. Any suggestions? What about using the OpenCV library for Processing? Technically, Processing is not Java, but it runs on the JVM and shouldn't be difficult to get working. OpenCV is the standard choice for computer vision, which is what you're trying to

what i want to to is analyse input from screen in form of pictures. I want to be able to identify a part of an image in a bigger image and get its coordinates within the bigger picture. Example: would have to be located in And the result would be the upper right corner of the picture in the big picture and the lower left of the part in the big picture. As you can see, the white part of the picture is irrelevant, what i basically need is just the green frame. Is there a library that can do something like this for me? Runtime is not really an issue. What i want to do with this is just generating

I've been reading about the subject but cannot get the idea in "plain English" about the usage and parameters for HoughCircles (specially the ones after CV_HOUGH_GRADIENT ). What's an accumulator threshold? Are 100 "votes" a right value? I could find and "mask" the pupil, and worked my way through the Canny function, but I'm struggling beyond that and my problem is the HoughCircles function. There seems to be failing at finding the Iris' circle and I don't know why. And this is the function I'm working on: def getRadius(area): r = 1.0 r = math.sqrt(area/3.14) return (r) def getIris(frame):

I originally asked this question on cstheory.stackexchange.com but was suggested to move it to stats.stackexchange.com . Is there an existing algorithm that returns to me a similarity metric between two bitmap images? By "similar", I mean a human would say these two images were altered from the same photograph. For example, the algorithm should say the following 3 images are the same (original, position shifted, shrunken). Same I don't need to detect warped or flipped images. I also don't need to detect if it's the same object in different orientations. Different I would like to use this