Face Recognition using Modified Generalized Hough Transform and Gradient Distance Descriptor

摘要

This research uses a modified version of the generalized Hough transform based on a new image descriptor, known as the gradient distance descriptor, to tackle the problem of face recognition. Thus, in addition to the position of the edges in a sketch of a face, this approach also takes into consideration the value of the corresponding descriptors. Individual descriptors are compared against one another using the matrix cosine similarity measure. This enables the technique to identify the region of a query face image that best matches a target face image in a database. The proposed technique does not require any training data and can be extended to general object recognition.