Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project
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Updated
Oct 6, 2023 - Python
Project files, scripts, configurations, and workflow publications for the Archives-Textract Test Project
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. 🚀
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
OCR software for recognition of handwritten text
Dataset of birth dates from Danish parish records
Word Segmentation done for handwritten text recogntion
Detect handwritten words with YOLOV5
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 …
Web app to recognize 3,755 Chinese words
Image processing to isolate hand-written characters in an image and to learn recognize them.
OMR Application used for extracting handwriting graphology features.
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.
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.
The ScriptNet / competitions site.
Using Tensorflow to classify the NIST Dataset 19 (Handwriting)
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
Let's explore how we can extract text from forms
Machine learning algorithms for structured inputs and outputs, such as on OCR and voice-to-text data.
Tensorflow implementation of handwritten sequence of small letters recognition.
Handwriting Recognition Tool for android powered by lipitk(by HPLabsIndia)
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