VeggieVision: a produce recognition system
Wed, 2010-09-29 17:56 — ggoncalv@brown.edu
| Title | VeggieVision: a produce recognition system |
| Publication Type | Conference Paper |
| Year of Publication | 1996 |
| Authors | Bolle, R. M., J. H. Connell, N. Haas, R. Mohan, and G. Taubin |
| Keywords | automatic product 1D system color feature extraction image classification image colour analysis integrated scale/imaging system produce checkout process produce classification produce recognition system retail data processing stored signatures system trai |
| 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 |