Image matching system

An image matching method, comprising:

• identifying, by a processor, an object area in an original image that illustrates an object;
• normalizing, by the processor, the object area, resulting in a normalized image;
• calculating, by the processor, a shape vector and a color vector from the normalized image;
• calculating, by the processor, a match score using the shape vector and the color vector;
• and
• determining, by the processor, if a non-transitory computer-readable medium stores an identical match for the original image based on the match score, wherein the non-transitory computer-readable medium stores information of a plurality of images,
• wherein the processor is configured to:
• generate a sketch image from the original image;
• identify a bounding rectangle in the sketch image;
• crop the sketch image with the bounding rectangle, resize and pad the cropped sketch image, resulting in the normalized image;
• and
• calculate the shape vector from the normalized image.

A computer program product for image matching, the computer program product comprising a computer-readable storage medium containing computer program code for:

• identifying, by a processor, an object area in an original image that illustrates an object;
• normalizing, by the processor, the object area, resulting in a normalized image;
• calculating, by the processor, a shape vector and a color vector from the normalized image;
• calculating, by the processor, a match score using the shape vector and the color vector;
• and
• determining, by the processor, if a non-transitory computer-readable medium stores an identical match for the original image based on the match score, wherein the non-transitory computer-readable medium stores information of a plurality of images,
• wherein the processor is configured to:
• generate a sketch image from the original image;
• identify a bounding rectangle in the sketch image;
• crop the sketch image with the bounding rectangle, resize and pad the cropped sketch image, resulting in the normalized image;
• and
• calculate the shape vector from the normalized image.