Deskewing scanned documents using horizontal projections

An important pre-processing step in any OCR tool or algorithm is to deskew the scanned document first.

K-fold cross validation

The greatest headache for any machine learning engineer is the problem of overfitting.

Draw bounding box around contours – skimage

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.

Harris Corner Detector implementation in python

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

Linear Regression using Gradient Descent Algorithm

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

Sobel Feldman operator or Sobel filter

Sobel operator is used in computer vision particularly in edge detection algorithms.

Converting Color Images to Grayscale using numpy and some Mathematics

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 and Green, our primary colors. RGB color space or RGB color system, constructs all the colors from the combination of the intensities of Red, Green and Blue colors.

Mathematics of Principal component analysis

Principal component analysis is a method used to reduce the number of dimensions in a dataset without losing much information.

Understanding the Classification report in sklearn

We often use a classification report to check the quality of classification algorithm predictions.

K-Means on Iris Dataset

Read my previous post to understand how K-Means algorithm works.

Muthu krishnan

Data science, Machine Vision and Maths