image-recognition

Does anyone know of a c++ library for taking an image and performing image recognition on it such that it can find letters based on a given font and/or font height? Even one that doesn't let you select a font would be nice (eg: readLetters(Image image). I've been looking into this a lot lately. Your best is simply Tesseract. If you need layout analysis on top of the OCR than go with Ocropus (which in turn uses Tesseract to do the OCR). Layout analysis refers to being able to detect position of text on the image and do things like line segmentation, block segmentation, etc. I've found some

I am looking for an algorithm to find all connected components in my binary image. If we think of the image like a matrix, it looks like: [ 0 0 0 0 ... 0 0 0 0 ... 0 1 1 1 ... 0 1 0 1 ... 0 1 0 0 ... ... ] I would like to find the all the ones that are touching (diagonally, as well). In this example, there is only one component - but there may be hundreds of unique components in an image. Image => ALGORITHM => [ [(x,y)], ... ] # list of lists of coordinates (each shape is a list) I have looked at the two pass labelling algorithm on Wikipedia, but I don't believe it returns me the actual

I am trying to train custom object classifier in Darknet YOLO v2 https://pjreddie.com/darknet/yolo/ I gathered a dataset for images most of them are 6000 x 4000 px and some lower resolutions as well. Do I need to resize the images before training to be squared ? I found that the config uses: [net] batch=64 subdivisions=8 height=416 width=416 channels=3 momentum=0.9 decay=0.0005 angle=0 saturation = 1.5 exposure = 1.5 hue=.1 thats why I was wondering how to use it for different sizes of data sets. You don't have to resize it, because Darknet will do it instead of you! It means you really don't

I am working on the project and part of it is to recognize objects recorded on camera. So to be more specofic: I am using OpenCV I have correctly setup camera and am able to retrieve pictures from it I have compiled and experimented with number of demos from OpenCV I need a scale- AND rotation- invariant algorithm for detection Pictures of original objects are ONLY available as edge-images All feature detection/extraction/matching algorithms I have seen so far are working reasonably well with gray-scale images (like photos), however due to my project specs I need to work with edge images

I am interested in developing something that will make use of Chinese handwritten recognition software on smart phones. Before I get started I wanted to check to see if there was any free (for open source and commercial applications) tools already developed for use. I've tried searching myself but I couldn't find any that stood out specifically for use on IPhone or Android. Are there any free to use (for commercial purposes included) engines/frameworks for Chinese Handwritten Recognition? If so, where can I find them? Thanks for your help. https://www.google.com/#hl=en&sa=X&ei=elAKT5DQKMP

Closed. This question is off-topic. It is not currently accepting answers. Learn more . Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I know this has been discussed a few times on stackoverflow but I wasn't able to find a sufficient answer. For a project, I am seeking the best possible piece of software/api/library that can recognise barcode numbers from the input image. It will be used on mobile phones(iphone, windows mobile, android etc.) so it should be good at catching barcodes from bad angles, blurry images and such bad