handwriting-ocr

There are 23 repositories under handwriting-ocr topic.

  • Breta01/handwriting-ocr

    OCR software for recognition of handwritten text

    Language:Jupyter Notebook74629153239

  • johnsmithm/handwritten-tf-1.0

    Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm

    Language:Jupyter Notebook77111638

  • kartikgill/Easter2

    Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION

    Language:Jupyter Notebook7531821

  • doxakis/form-segmentation

    Let's explore how we can extract text from forms

    Language:Jupyter Notebook457318

  • frereit/TensorflowHandwritingRecognition

    Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

    Language:Python404919

  • harshavkumar/word_segmentation

    Word Segmentation done for handwritten text recogntion

    Language:Python22235

  • johnsmithm/handwritten-sequence-tensorflow

    Tensorflow implementation of handwritten sequence of small letters recognition.

    Language:Python21769

  • german-zarate/inkflow-ai-convert

    Transform handwritten📝 content into digital format✨ with "InkFlow AI Convert". Our application offers a seamless solution for turning handwritten text into digital format. We use Next.js, Tailwind CSS, and MongoDB to enhance your workflow. Join us now to witness the remarkable potential of AI-driven conversion 🔥 in action. 🚀

    Language:TypeScript10100

  • Praneet9/Smart_Editor

    A web app to convert handwritten forms to digital forms. Initially you are supposed to upload a template of your form that isn't filled. If the templates of your form is already available, you just need to upload your handwritten form and it will be converted to digital text.

    Language:Jupyter Notebook91112

  • ShahariarRabby/EkushNet

    EkushNet is the first research which can recognize Bangla handwritten basic characters, digits, modifiers, and compound characters. Handwritten recognition is one of the most interesting issue in present time due to its variant applications and help to make the old form and information digitization and reliable.

    6312

  • Transkribus/competitions

    The ScriptNet / competitions site.

    Language:Python6121116

  • yoogun143/Chinese-Handwritten-Recognition

    Web app to recognize 3,755 Chinese words

    Language:JavaScript6210

  • kos94ok/WordDetectorYolov5

    Detect handwritten words with YOLOV5

    Language:Python4132

  • lkwbr/structured-prediction

    Machine learning algorithms for structured inputs and outputs, such as on OCR and voice-to-text data.

    Language:Python4201

  • coastalcph/mgr-birthdates

    Dataset of birth dates from Danish parish records

    3300

  • clemsciences/ohcr

    Image processing to isolate hand-written characters in an image and to learn recognize them.

    Language:Jupyter Notebook221

  • shahadat3669/inkflow-ai-convert

    Transform handwritten📝 content into digital format✨ with "InkFlow AI Convert". Our application offers a seamless solution for turning handwritten text into digital format. We use Next.js, Tailwind CSS, and MongoDB to enhance your workflow. Join us now to witness the remarkable potential of AI-driven conversion 🔥 in action. 🚀

    Language:TypeScript2100

  • cinekpl97/OMR-Handwriting-features-recognition

    OMR Application used for extracting handwriting graphology features.

    Language:Python1210

  • samuelcesc/yoruba-handwriting-database

    Database of Handwritten Yoruba letters and words.

    1201

  • sreyasaju/inscribe

    Handwriting recognition using EasyOCR

    Language:Python10

  • pradumnk-mahanta/android-HandwritingRecognition_lipiTK

    Handwriting Recognition Tool for android powered by lipitk(by HPLabsIndia)

    Language:Makefile0201

  • siddharthchatterjee9/Handwritten-Text-Recognition-HCI

    Recognition of handwritten and machine characters is an emerging area of research and finds extensive applications everywhere. Our application accepts an image/document in the form of a .png extension and pre-processes the manually written text to neatly segment it into parts. After segmentation, the recognition of simple isolated characters or strokes helps us to translate the human handwritten text to give an output in the form of digital text and audio that reads the text present in the image uploaded

    0102

  • prys0000/archives-handwriting-text-extract-project

    Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project

    Language:Python