This paper combines multispectral imaging and simple image processing techniques for the non-destructive identification of Thai rice breeds. Especially, we exploit only two fluorescent wavelengths in a 500-580 nm wavelength band and utilize simple image thresholding, blob filtering, and blob analysis techniques in order to identify 8 different Thai rice breeds. Other key features include no waste produced and fast identification time. In our experimental study, UVC light is used as our exciting light, a liquid crystal tunable optical filter is used for our wavelength selection, and a camera with 644×488 active pixels is used to capture desired wavelength images. Milled rice grains from 8 different Thai rice breeds having similar size and shape are tested. There is also one glutinous rice breed in our experiment. Our experimental result shows that by suitably applying image thresholding, blob filtering, and blob analysis to fluorescent images, all Thai rice breeds can be effectively identified.© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.