System and method for visual recognition

A method for matching a learned object with a target object, the method comprising:

• providing at least one learned object and at least one target object, wherein the learned object and the target object;
• extracting unique points from the target object, wherein the unique points are generated from extremum information obtained from the target image by cross-correlating at least one structure across the target image;
• extracting an icon of the target image corresponding to each of the unique points;
• determining an angle associated with the at least one icon;
• normalizing the extracted icon;
• and
• determining if the extracted icon from the target images matches a learned object.

A non-transitory computer readable medium storing a program, the program being suitable for use in matching a learned object with a target object, wherein when the program is loaded in memory of an associated computer and executed, causes extracting unique points from the target object, wherein the unique points are generated from extremum information obtained from the target image by cross-correlating at least one structure across the target image;

• extracting an icon of the target image corresponding to each of the unique points;
• determining an angle associated with the at least one icon;
• normalizing the extracted icon;
• and determining if the extracted icon from the target images matches the learned object.