Rotation and Scaling Image Using PCA

  •  Hawrra Hassan Abass    
  •  Firas Mahdi Muhsin Al-Salbi    


An important aspect of human visual system is the ability to recognize objects despite of the change in their position, size, and orientation. Therefore, any pattern recognition system for many applications, such as for industry or military, must have the ability to recognize geometrically distorted patterns, i.e. scaled, rotated and shifted patterns. In this paper Hotelling transform algorithm has been used for scale and rotation invariant image processing, with the help of MATLAB-v10 simulation program, this algorithm has been implemented and tested on many images with black and white format of different scales and rotation angles.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1913-8989
  • ISSN(Online): 1913-8997
  • Started: 2008
  • Frequency: semiannual

Journal Metrics

WJCI (2022): 0.636

Impact Factor 2022 (by WJCI):  0.419

h-index (January 2024): 43

i10-index (January 2024): 193

h5-index (January 2024): N/A

h5-median(January 2024): N/A

( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )