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
- 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
- Detect handwritten words (classic image processing based method).☆273Updated 2 years ago
- Document Scanner and Word Segmentation☆124Updated 5 years ago
- Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters…☆324Updated 9 months ago
- A comprehensive tutorial for OCR in python using Tesseract-OCR and OpenCV☆124Updated 3 years ago
- ☆68Updated 4 years ago
- Template based form extractor OCR. Train your own character and alphabet OCR.☆18Updated 6 years ago
- Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]☆149Updated 6 years ago
- Tensorflow, Luminoth Based Table Detection and Extraction☆162Updated 2 years ago
- Optical character recognition Using Deep Learning☆30Updated 7 years ago
- IAM dataset☆63Updated 2 years ago
- Handwritten Text Recognition using TensorFlow☆281Updated last year
- Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture☆451Updated 2 years ago
- Diving into PyImageSearch☆148Updated 7 years ago
- How to train a Keras model to recognize variable length text | DLology☆70Updated 7 years ago
- NanoNets OCR API Example for Python☆201Updated 3 years ago
- A simple tf.keras 2.1 implementation of CRNN OCR with data generator☆36Updated 5 years ago
- To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a struc…☆44Updated 5 years ago
- A software for extracting text from scanned images of printed text documents☆57Updated 6 years ago
- Identifying forged signatures using convolutional siamese networks implemented in Keras☆53Updated 4 years ago
- Table recognition inside douments using neural networks☆93Updated 7 years ago
- Convolutional recurrent neural network for scene text recognition or OCR in Keras☆126Updated 4 years ago
- Scene Text Detection and Style Classification into Machine Printed and Handwritten Text☆25Updated 3 years ago
- Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.☆75Updated 3 years ago
- Using Tensorflow to classify the NIST Dataset 19 (Handwriting)☆40Updated 6 years ago
- Segmentation of ID Cards using Semantic Segmentation☆106Updated 5 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
- Detect handwritten words (neural network based).☆71Updated 3 years ago
- This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet …☆517Updated 3 months ago