MATLAB Source Code for Character Recognition and Calculation of 7 Invariant Moments

This text presents MATLAB source code for character recognition and calculation of seven invariant moments. These invariant moments serve as robust descriptors for characterizing text shapes and features. The implementation leverages image processing and pattern recognition techniques to achieve accurate character identification, employing mathematical algorithms to compute rotation, scale, and translation invariant moments.

The program typically follows this workflow: image preprocessing (including binarization and noise removal), character segmentation, feature extraction using moment calculations, and pattern classification. Key MATLAB functions involved may include im2bw() for thresholding, regionprops() for region analysis, and custom functions for moment computation based on central moments formulas. The seven Hu invariant moments are calculated using mathematical transformations of regular geometrical moments to achieve invariance properties.

This methodology enables comprehensive analysis of textual characteristics and properties, establishing a foundation for advanced research applications in document analysis, optical character recognition (OCR), and shape-based pattern matching systems.