OCR software for recognition of handwritten text

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

Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION

Let's explore how we can extract text from forms

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

Tensorflow implementation of handwritten sequence of small letters recognition.

Word Segmentation done for handwritten text recogntion

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.

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.

Web app to recognize 3,755 Chinese words

The ScriptNet / competitions site.

Detect handwritten words with YOLOV5

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

Dataset of birth dates from Danish parish records

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. 🚀

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

OMR Application used for extracting handwriting graphology features.

Database of Handwritten Yoruba letters and words.

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

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 …