Y.-K. Lee and W. T. Rhodes, “Nonlinear Image Processing by a Rotating Kernel Transformation,” Optics Letters, Vol. 15, No. 23, 1990, pp. 1383-1385. doi:10.1364/OL.15.001383

has been cited by the following article:

• TITLE: Automation of Fingerprint Recognition Using OCT Fingerprint Images

  AUTHORS: Nasibe Akbari, Ali Sadr

  KEYWORDS: Optical; Coherence; Tomography; Speckle Denoising; Fingerprint Recognition

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.1, February 29, 2012

  ABSTRACT: Automated recognition of a person is one of the most critical issues in the modern society. Common biometric systems rely on the surface topography of an object and, thus, are potentially vulnerable for spoofing. Optical coherence tomography is a technology that has the capability to probe the internal structure of multilayered tissues. The paper describes an algorithm for automation fingerprint recognition that the algorithm is applied on the OCT fingerprint images. This algorithm is based on scanning of the enhanced and segmented OCT images.