Title :
VeggieVision: a produce recognition system
Author :
Bolle, R.M. ; Connell, J.H. ; Haas, N. ; Mohan, R. ; Taubin, G.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
The authors present an automatic product 1D system (“VeggieVision”), intended to ease the produce checkout process. The system consists of an integrated scale and imaging system with a user-friendly interface. When a produce item is placed on the scale, an image is taken. A variety of features, color, texture (shape, density), are then extracted. These features are compared to stored “signatures” which were obtained by prior system training (either on-line or off-line). Depending on the certainty of the classification, the final decision is made either by the system or by a human from a number of choices selected by the system. Over 95% of the time, the correct produce classification is in the top four choices
Keywords :
feature extraction; image classification; image colour analysis; retail data processing; VeggieVision; automatic product 1D system; color; integrated scale/imaging system; produce checkout process; produce classification; produce recognition system; stored signatures; system training; texture; user-friendly interface; Cameras; Hardware; Humans; Image recognition; Image segmentation; Machine vision; Optical polarization; Optical reflection; Prototypes; Shape;
Conference_Titel :
Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-7620-5
DOI :
10.1109/ACV.1996.572062