Pattern Recognition | Basics and Design Principles

Prerequisite – Pattern Recognition | Introduction
Pattern Recognition System
Pattern is everything around in this digital world. A pattern can either be seen physically or it can be observed mathematically by applying algorithms.

In Pattern Recognition, pattern is comprises of the following two fundamental things:

  • Collection of observations
  • The concept behind the observation
  • Feature Vector:
    The collection of observations is also known as a feature vector. A feature is a distinctive characteristic of a good or service that sets it apart from similar items. Feature vector is the combination of n features in n-dimensional column vector.The different classes may have different features values but the same class always has the same features values.

    Example: