System and method for identifying image based on singular value decomposition and feature point

A non-transitory computer readable medium including a computer program stored thereon for identifying an image based on SVD (singular value decomposition), wherein the computer program instructs a microprocessor to perform the steps of:

• measuring strength of a Gaussian curvature of a plurality of pixels from an input image;
• extracting at least one feature point by comparing the measured strength of the Gaussian curvature of each pixel with a pre-set threshold value;
• dividing a local region adjacent to the extracted feature point into sub-regions of the same size;
• decomposing each of the sub regions using SVD (singular value decomposition) and obtaining singular values based on the SVD;
• and
• comparing the detected identifier with at least one image in a database.

A non-transitory computer-readable storage medium with an executable program for identifying an image based on SVD (singular value decomposition) stored thereon, wherein the program instructs a computer to perform the following steps:

• extracting at least one feature point from an input image using a strength of a Gaussian curvature of each pixel from the input image;
• detecting a local identifier based on SVD (singular value decomposition) for sub-regions adjacent to the extracted feature points;
• and
• comparing the detected local identifier from the identifier detecting module with an image in a database stored on a non-transitory computer-readable storage medium.