In this article, I will explain a widely used method for segmenting handwritten documents into individual lines. Below is a sample output from my algorithm.…

An important pre-processing step in any OCR tool or algorithm is to deskew the scanned document first. Take a look at the below sample scanned…

The greatest headache for any machine learning engineer is the problem of overfitting. The model we trained works perfectly on the training dataset but when…

The basic idea is to find the Xmin, Xmax, Ymin, Ymax of each identified coordinates of the contour and then create a rectangle using it.…

The Harris corner detection algorithm also called the Harris & Stephens corner detector is one of the simplest corner detectors available. The idea is to…

Gradient descent is an optimization method used to find the minimum value of a function by iteratively updating the parameters of the function. Parameters refer…

Sobel operator is used in computer vision particularly in edge detection algorithms. The operator uses two 3×3 kernels which are convolved with the original image…

An extremely magnified image at the end is just blocks of colors called pixels, where each pixel is formed by the combination of Red, Blue…

Principal component analysis is a method used to reduce the number of dimensions in a dataset without losing much information. It’s used in many fields…