Application of a post-processing algorithm for improved human face recognition

Artiklar, M.; Hassoun, M.H.; Watta, Paul

doi:10.1109/ijcnn.1999.836184

Cited by 8 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A simple and computationally efficient method to provide invariance to small amounts of image shift was given in [1]. Here, to compute the distance between two images, s and t, an iterative procedure is used to optimize the alignment between the two images.…”

Section: Shift Invariancementioning

confidence: 99%

An RCE-based Associative Memory with Application to Human Face Recognition

Artiklar

Watta

et al. 2006

Neural Process Lett

View full text Add to dashboard Cite

Abstract. Many models of neural network-based associative memory have been proposed and studied. However, most of these models do not have a rejection mechanism and hence are not practical for many real-world associative memory problems. For example, in human face recognition, we are given a database of face images and the identity of each image. Given an input image, the task is to associate-when appropriate-the image with the corresponding name of the person in the database. However, the input image may be that of a stranger. In this case, the system should reject the input. In this paper, we propose a practical associative memory model that has a rejection mechanism. The structure of the model is based on the restricted Coulomb energy (RCE) network. The capacity of the proposed memory is described by two measures: the ability of the system to correctly identify known individuals, and the ability of the system to reject individuals who are not in the database. Experimental results are given which show how the performance of the system varies as the size of the database increases-up to 1000 individuals.

show abstract

Section: Shift Invariancementioning

confidence: 99%

An RCE-based Associative Memory with Application to Human Face Recognition

Artiklar

Watta

et al. 2006

Neural Process Lett

View full text Add to dashboard Cite

show abstract

“…In our study, we use 2 steps shifting for 4 directions: north, south, east, and west, which gives 25 shifts in total for each region, and we then record the smallest distance (Artiklar et al 1999). …”

Section: Shiftingmentioning

confidence: 99%