Step-by-Step Handwriting Recognition Tutorial Using TensorFlow

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Handwriting recognition is a powerful technology that is widely used in various applications, from scanning documents to recognizing notes and forms. In this tutorial, we will build a custom TensorFlow model to extract text from captcha images using the IAM Dataset. We will begin by collecting and preprocessing the Dataset, then define our model architecture using a CNN with LSTM layers and a CTC loss function. We will then train and evaluate the model and finally test it on a small sample of the test dataset. Along the way, we will discuss ways to improve the performance of our model, such as fine-tuning the hyperparameters, using a different dataset or augmenting the data, testing a different model architecture, or incorporating additional features. This tutorial will provide a good starting point for building an OCR system using TensorFlow.

#machinelearning #python #tensorflow #opencv #ocr
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you are a life saver I had a project about this that had his deadline moved to 3 weeks earlier and that tutorial really helped

arielm
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My teacher has asked me to do word and text line projects and just reading tutorials and code is a bit overwhelming for me. Is there any relevant references so that I can understand the structure of the model and how the algorithms are implemented, I would appreciate if you can give me an answer.

SHUAIZHANG-rsvn
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could you help me how i can create with my own image datasets for ocr creation

puslfgd
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how much time it took you to train dataset

atharvamahalle
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thanks for video is it possible to use this model without doing the training process? thanks

eznex
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thank you sir ill will use it for project

AyushGuptaAyushgupta
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Can we send a sentence in the form of an image to get the predictions?

vkrts
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Hi, I am facing following error :

line 6, in <module> from mltu.utils.text_utils import ctc_decoder, get_cer ModuleNotFoundError: No module named 'mltu.utils'

Can you please check why this error is occurring although i have installed mltu using ---> pip install mltu==0.1.5

ProgrammingForStudents
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Great Video! I am trying to download the IAM dataset, but I have not gotten a verification email from them. Anyone have any suggestions or help?

andrewperry
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i installed everything correctly but i get errors on importing anything from mltu.tensorflow or mltu.annotations. Is there a fix?

acronym
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Hello, is there any relevant paper reference for word recognition and text line recognition, I would like to know more about the principle of their implementation.

SHUAIZHANG-rsvn
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Thanks a lot for this video! Really appreciate your effort and time in making this video and documentation. Will your code helps in converting a handwritten paragraph from an image into a text output?

shashidhardevraj
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Hello sir! This model will be work on current version of Python and Tensorflow?i am using version 3.11

vngspbj
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In which format labels should be there for a custom image dataset for hcr and image hai only single character in it, labels format by I mean the content in the label file with respect to image.

yogeshmodi
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When i pass whole image. Can it detecr all the text in one shot

nareshmalviya
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Hi,
I have watched full series thanks for the good work. Can the model.h5 for the hand written word converted to tflite? I want try the possibility to use this as a ocr for mobile devices

tanvir_ovi
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I couldn't find documentation for dataprovider in tensorflow. Could you help me?

bhanusri
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I have to build this project but Real time like by using a camera which reads the text and recognizes it real time so can you guide me aur is there anywhere you know i can get the tutorial for this project? Thankyou

saadmasood
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hey sir, thanks for the video, is very helpful. im having some troubles: words = open(stow.join(dataset_path, "words.txt"), "r").readlines()
FileNotFoundError: [Errno 2] No such file or directory:

aparently, the dataset was to be one file txt with the words, but after extract i have a lot of folders and inside them the txt files.

coelhucas
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Thank you, Sir! Your work is truly amazing! Can I use it in my project?

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