According to this feature point recognition system (1), data of a feature point of a first group obtained by a first algorithm calculation unit (12) with no mask processing is compared with data of a feature point of a second group detected by a third algorithm calculation unit (16) obtained through mask processing performed by a second algorithm calculation unit (14), whether the data is abnormal is determined, and thereby feature points of a subject P can be recognized more accurately and stably than in the related art.
FEATURE POINT RECOGNITION SYSTEM AND RECOGNITION METHOD