matches cannot be found by optimizing the choice of enrollment parameters based on human perception voting we get the set of feature vectors for an actor that best represent the actor by as perceived by people the present invention also uses voting results to weigh feature vectors in addition to using vote results to select which actor images are good for enrollment vote results can also be used to weigh the feature vector itself so that qualities of the image that are perceived by humans are more heavily weighted when searching for a good match biometric security software cognitec identix etc selects and weighs the features of an image in order to match an image of a person to another image of the same person and optimizing the vector to achieve this result the feature vector can be made up of local facial features or overall components of the face as determined by principle component analysis the use of human perception voting results in order to optimize the look a likeness of a person to a different person can use used regardless of the how the feature vectors are determined in other words the algorithm for determining the set of feature vectors that best represent a face can be augmented with a 2nd algorithm which takes these feature vectors typically represented as a vector of floating point numbers and weighs the values in the vector so that the characteristics of the image that are based on human perception are used more heavily statistical methods such as neural networks or support vector.