Nagakiran1 / 4-simple-steps-in-Builiding-OCRLinks
Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. Keras Deep learning Network is used at here in recognising the Text characters and OpenCV is used in segmenting the text and Noise …
☆41Updated 3 years ago
Alternatives and similar repositories for 4-simple-steps-in-Builiding-OCR
Users that are interested in 4-simple-steps-in-Builiding-OCR are comparing it to the libraries listed below
Sorting:
- Building OCR using YOLO and Tesseract☆96Updated 4 years ago
- ☆68Updated 4 years ago
- Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to tra…☆152Updated 2 years ago
- A comprehensive tutorial for OCR in python using Tesseract-OCR and OpenCV☆124Updated 3 years ago
- Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters…☆325Updated 9 months ago
- Document Scanner and Word Segmentation☆122Updated 5 years ago
- IAM dataset☆64Updated 2 years ago
- Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture☆451Updated 2 years ago
- Tensorflow, Luminoth Based Table Detection and Extraction☆162Updated 2 years ago
- To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a struc…☆81Updated 5 years ago
- Detect handwritten words (classic image processing based method).☆274Updated 2 years ago
- Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]☆149Updated 6 years ago
- Template based form extractor OCR. Train your own character and alphabet OCR.☆18Updated 6 years ago
- Handwritten Text Recognition using TensorFlow☆282Updated last year
- OCR software for recognition of handwritten text☆817Updated 2 years ago
- Table recognition inside douments using neural networks☆93Updated 7 years ago
- A simple tf.keras 2.1 implementation of CRNN OCR with data generator☆35Updated 5 years ago
- To try CTC in Keras☆19Updated 6 years ago
- Detect the tables in a form and extract the tables as well as the cells of the tables.☆64Updated 4 years ago
- Convolutional recurrent neural network for scene text recognition or OCR in Keras☆126Updated 4 years ago
- A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents usi…☆499Updated 2 years ago
- Detect handwritten words (neural network based).☆71Updated 3 years ago
- Detecting the National Identification Cards with Deep Learning (Faster R-CNN)☆309Updated 2 years ago
- Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)☆198Updated 2 years ago
- Code and procdures for handwriting object detection and recognition☆79Updated 4 years ago
- ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction☆402Updated 5 years ago
- Segmentation of ID Cards using Semantic Segmentation☆107Updated 5 years ago
- The deslanting algorithm sets text upright in images. Python, C++ and OpenCL implementations provided.☆150Updated 3 years ago
- To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a struc…☆45Updated 5 years ago
- Extract tables from scanned image PDFs using Optical Character Recognition.☆276Updated 5 years ago