Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng Chung Lin, Wei Chung Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


The extraction of facial features is a fundamental and crucial step in most face detection and recognition systems. Here a set of approaches are proposed for extracting internal and external facial features in a gray-level images containing single or multiple faces of various sizes, at different locations without any restriction on the background. These approaches are distinctive in several aspects: the use of some rarely exploited photometric properties as the basis of facial features extraction, a novel metrics on radial symmetry of gradient orientations, and an inhibitory mechanism for extracting internal facial features and a simple mechanism for external ones.

Original languageEnglish (US)
Pages (from-to)2079-2101
Number of pages23
JournalPattern Recognition
Issue number12
StatePublished - Dec 1 1996


  • Bright blobs
  • Dark blobs
  • Dual-mask operators
  • Inhibitory mechanism
  • Symmetry of gradient orientations

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


Dive into the research topics of 'Extracting facial features by an inhibitory mechanism based on gradient distributions'. Together they form a unique fingerprint.

Cite this