TY - GEN
T1 - Herb flower recognition system (HFRS)
AU - Pornpanomchai, Chomtip
AU - Sakunreraratsame, Ponrath
AU - Wongsasirinart, Rosita
AU - Youngtavichavhart, Nuttakan
PY - 2010
Y1 - 2010
N2 - The objective of this research is to build an automatic method for recognizing a Thai herb flower based on the Minimum Distance Method. The herb flower images, acquired from a digital camera, are taken in the real environment. We use the characteristics of herb flowers to design our classification algorithms, which consist of the average red, green and blue (RGB) colors, the herb flower size and the edge of petals feature. The experiments are conducted on more than 380 pictures from 16 species of herb flowers. The training data set is around 220 pictures. We test the system by using 110 pictures for a training data set and 50 pictures for an un-training data set. The precision rates of the recognition system are 98.18 percent and 94 percent, respectively. The average access time is 0.87 seconds per image.
AB - The objective of this research is to build an automatic method for recognizing a Thai herb flower based on the Minimum Distance Method. The herb flower images, acquired from a digital camera, are taken in the real environment. We use the characteristics of herb flowers to design our classification algorithms, which consist of the average red, green and blue (RGB) colors, the herb flower size and the edge of petals feature. The experiments are conducted on more than 380 pictures from 16 species of herb flowers. The training data set is around 220 pictures. We test the system by using 110 pictures for a training data set and 50 pictures for an un-training data set. The precision rates of the recognition system are 98.18 percent and 94 percent, respectively. The average access time is 0.87 seconds per image.
KW - Flower features extraction
KW - Herb flower recognition
KW - Minimum distance method
UR - https://www.scopus.com/pages/publications/78049337322
U2 - 10.1109/ICEIE.2010.5559906
DO - 10.1109/ICEIE.2010.5559906
M3 - Conference contribution
AN - SCOPUS:78049337322
SN - 9781424476800
T3 - ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings
SP - V1123-V1127
BT - ICEIE 2010 - 2010 International Conference on Electronics and Information Engineering, Proceedings
T2 - 2010 International Conference on Electronics and Information Engineering, ICEIE 2010
Y2 - 1 August 2010 through 3 August 2010
ER -