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Optical Character Recognition (Machine Learning (Bayesian, Rule System,…
Optical Character Recognition
Neural Network
Back Propagation Network
Perceptron
Reinforced
Uses random weights and biases
Several Neurons
Conversion of Text to
Machine Encode text
Feature Extraction
Processes by lines,
Closed Loops
Matrix Matching
Processes Pixel by Pixel
Computer Vision
Contours
Morphing
Edge Detection
Corner Detection
Image Filtering
Binary Image
Run-Length Encoding
Projection
Binary Algorithm
Thresholding
Regions
Region-Based Segmentation
Region Growing
Threshold-Based Segmentation
Machine Learning
Bayesian
Rule System
Decision Tree
Regularization
Dimensionality Reduction
Neural Networks
Instance Based
Ensemble
Clustering
Deep Learning
Regression
Supervised Learning
REGRESSION
Ensemble Methods
Decision Trees
SVR, GPR
Neural Networks
Linear Regression, GLM
CLASSIFICATION
Nearest Neighbor
Discriminant Analysis
Neural Networks
Support Vector Machines
Naive Bayes