1. An object verification method, comprising: obtaining a target Chi square inner product based on a target local binary pattern (LBP) feature of a target image and a target kernel LBP feature to generate a target image feature vector; projecting the target image feature vector to a kernel fisher discriminant analysis (KFDA) basis vector; obtaining a query Chi square inner product based on a query LBP feature of a query image and a query kernel LBP feature to generate a query image feature vector; projecting the query image feature vector to the KFDA basis vector; and providing a similarity degree between the target image and the query image based on the projected target image feature vector and the projected query image feature vector and outputting the similarity degree as a result of verification between the target image and the query image for object verification.