![]() ![]() Talk about embarrassing! Truly, it’s a wonder they ever let me out of grade school. And on more than one occasion, I’ve had to admit that I couldn’t read them either. I’m often asked by those who read my handwriting at least 2-3 clarifying questions as to what a specific word or phrase is. Her handwriting is not only legible, but it’s stylized in a way that you would think a professional calligrapher wrote it:įigure 2: As you can see, my handwriting leaves a little bit to be desired. My wife, for example, has amazing penmanship. You can start by choosing your own datasets or using our PyimageSearch’s assorted library of useful datasets.īring data in any of 40+ formats to Roboflow, train using any state-of-the-art model architectures, deploy across multiple platforms (API, NVIDIA, browser, iOS, etc), and connect to applications or 3rd party tools. Sign up or Log in to your Roboflow account to access state of the art dataset libaries and revolutionize your computer vision pipeline. Roboflow has free tools for each stage of the computer vision pipeline that will streamline your workflows and supercharge your productivity. It helps in training a model that can accurately recognize various handwriting styles, enhancing the system’s versatility. Every one of us has a personal style that is specific and unique.Ī handwritten text dataset is crucial for handwriting recognition tasks. ![]() The reason this concept is so challenging is that unlike computer fonts, there are nearly infinite variations of handwriting styles. Part 2: Basic handwriting recognition with Keras and TensorFlow (today’s post)Īs you’ll see further below, handwriting recognition tends to be significantly harder than traditional OCR that uses specific fonts/characters.Part 1: Training an OCR model with Keras and TensorFlow (last week’s post).This post is Part 2 in our two-part series on Optical Character Recognition with Keras and TensorFlow: ![]()
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