1. A biometric facial recognition computing platform, comprising: at least one processor; a communication interface communicatively coupled to the at least one processor; and at least one memory storing computer-readable instructions that, when executed by the at least one processor, cause the biometric facial recognition computing platform to: receive a request to access a device, the request including user identifying information; query a database to obtain a pre-stored image of a user associated with the user identifying information and data associated with the pre-stored image, the data including a mean pixel value of the pre-stored image and a variance of the pre-stored image, the variance being determined based on data from at least a first pixel of the pre-stored image and eight pixels adjacent the first pixel of the pre-stored image; capture, via an image capturing device, an image of a user requesting access to the device; determine a mean pixel value for the captured image of the user requesting access to the device; determine, based on the mean pixel value for the captured image, a variance of the captured image, the variance further being based on data from at least a first pixel of the captured image and eight pixels adjacent the first pixel of the captured image; use a probabilistic neural network to determine a similarity score between the pre-stored image and the captured image based, at least in part, on the data associated with the pre-stored image and the mean pixel value and variance for the captured image; and determine whether the similarity score is at or above a pre-determined threshold; and responsive to determining that the similarity score is at or above the pre-determined threshold, provide access to the device.