Ncr Corporation

Meng Yu

Gary A Ross

Chao He

Kristoffer Dominic Amora

Richard C Quipanes

Em Parac

Approaches to produce verification are addressed which may be suitably employed in conjunction with a low resolution image scanner. Features, such as lines, corners, text, texture, edges and the like are extracted and compared with features for an identified item or evaluated to determine if the features collectively are indicative of a produce item or a non-produce item.

Produce and non-produce verification using hybrid scanner

A produce recognition system comprises an image capture device arranged to (i) capture a first color image which is representative of a color image of a produce item, and (ii) capture a second color image which is representative of a color image of at least one target color swatch. The produce recognition system further comprises control circuitry arranged to (i) calculate one or more color correction factors based upon differences between the captured second color image and a store of reference color images, and (ii) apply the calculated one or more color correction factors to the captured first color image to correct for color variations in the color image of the produce item due to a combination of variations in natural lighting and variations in interior lighting.

Growing community of inventors

Dundee, United Kingdom

Meng Yu