image-recognition

I'm not sure, but can I use keypoints of an image for object recognition? I have MATLAB implementation of Harris keypoint extraction. Its output is an array of points, I don't know how can I use these points (the number of points in Harris algorithm vary) for recognizing purpose. There is another method, LoG (Laplace of Gaussian) that produce 120x3 for each image. Keypoints example: It's my objects dataset: http://www.vision.ee.ethz.ch/datasets/downloads/Obj_DB.tar.gz , images background is white, as seen in the above image. What I want is training a Neural Network with a train set (some of

I want my application to fill in a single field in a form that exists as an black-and-white image file. The form always starts as the same paper version, but by the time my application gets it from my users, it may have been scanned or faxed more than once. Because of that, the field I need is not in the same place in every file. My users do not always get the blank form from me, so I do not have the ability to print a mark or placeholder that I can recognize later. There is text on the original blank form, but because it may have been faxed, I have only 200 dpi of resolution. The text is

I'm working on machine learning and I would like to use Google Cloud ml service. At this moment, I have trained my model with retrain.py code of Tensorflow ( https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py#L103 ) and I have exported the results to a cloudml (export and export.meta files). However when I try to make a prediction of new data with command ( https://cloud.google.com/ml/reference/commandline/predict ): gcloud beta ml predict it always returns the same result (I want to predict different data). How is it possible? My data are