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!

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

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

一些有用的票据和文档识别算法工具箱📦

detect and correct skewed images containing text

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

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

Use bootstrap resampling to estimate the sampling distribution of a statistic

Skew correction by use of opencv.js

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