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 | 1 | initial version |
"I may train the algorithm by a image of one person and some meaningless images"
No, don't.
you won't get anywhere this way. lbph(and the others, too) is doing a nearest-neighbour search to look for the closest match in the train-set, so adding meaningless images won't make it better, more likely worse.
do as you were told before, and feed a couple of images per person into the db/training
| | 2 | No.2 Revision |
"I may train the algorithm by a image of one person and some meaningless images"
No, don't.
you won't get anywhere this way. lbph(and the others, too) is doing a nearest-neighbour search to look for the closest match in the train-set, so adding meaningless images won't make it better, more likely worse.
maybe you're thinking of neural networks, or boosted learning techniques, which in fact require positive as well as negative images ( and weighting their ratio is one of the keys to success there ), but not so here.
do as you were told before, and feed a couple of images per person into the db/training
