ICIP 2022: Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

The project creates the models and service API for predicting scanned document images' angles ranging between -90° to 90° from the vertical.

detect and correct skewed images containing text

Skew correction by use of opencv.js

In this repo, I created a Skew Correction for text using OpenCV and Python.

Use bootstrap resampling to estimate the sampling distribution of a statistic

一些有用的票据和文档识别算法工具箱📦

Konsep MSFT Office Lens. Mengambil (capture) objek kamera yang skew (miring/condong) sehingga menjadi objek yang datar

Check this out with latest data on kaggle itself :

This is the dataset used in the second chapter of Aurélien Géron's recent book 'Hands-On Machine learning with Scikit-Learn and TensorFlow'. It serves as an excellent introduction to implementing machine learning algorithms