All ocr font11/7/2022 ![]() K-means clustering looks like a promising algorithm for the segmentation.īoundaries of the text fonts will need to be recognized so as to determine the shape of the font, skew and other properties. The segmentation algorithm will be motivated by the structure of the script. The system will perform character extraction by first binarizing the image, regulating the contrast & brightness of the image, and performing character segmentation. I intend to use a classifier to decide if there are texts in the cropped area. When an image is taken, the user can crop to the area containing specific typefont set. Achieving >90% accuracy is the goal with using the SDK tool. Intel Deep Learning SDK tool will be essential in training the model using the Tensorflow OCR algorithm, and consequently optimizing the trained model to perform effectively in the edge device (smartphone). Tensorflow’s algorithm is based on combining morphological operation sensitive to specific shapes in the input image with a good threshold value. Tensorflow with Attention is widely used in OCR. Tensorflow is my choice of deep learning framework given it is easy to implement and has a large community backing. Recognition of any text recognition system is the effectiveness of its algorithms. This database will form the testing and training set used to build the model. The font catalogue import will be used for comparison with the extracted font shapes. ![]() ![]() A large font database will be needed, which I intend to source from the largest font database there is: Google Fonts (). The MNIST dataset will come in handy at this point. Text and font recognition will be a combination of OCR, CNNs and deep learning.įirst, I will need to build an Optical Character Recognition system, which is basically trying to build a model for the same. ![]() The input to the library will be either: an image taken using a camera, a scanned image or a jpeg image, and must contain text. The library will be accessed via a companion Android application that enables a designer to take pictures using the smartphone camera. The project features the development of a library that will detect the font of a text in an image. ![]()
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