Human face detection with neural networks and the DIRECT algorithm

Yau Zen Chang*, Kao Ting Hung, Shih Tseng Lee

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations


Based on Rowley's approach, this article proposes a new architecture that uses a specific optimization technique, the DIRECT (DIviding RECTangle) algorithm, to improve the efficiency of face detection in images. The system consists of two main parts: a neural network-based face detection arbitrator, and a search strategy based on an integer-handling DIRECT algorithm. By the architecture, the number of arbitrations is dramatically reduced, and human faces, if they are present in an image, are not restricted to predetermined resolutions and aspect ratios. Experimental results show that the proposed architecture is efficient in terms of both speed and robustness.

Original languageEnglish
Pages (from-to)112-115
Number of pages4
JournalArtificial Life and Robotics
Issue number1-2
StatePublished - 2008


  • DIRECT algorithm
  • Face detection
  • Image pattern recognition
  • Image processing
  • Neural network


Dive into the research topics of 'Human face detection with neural networks and the DIRECT algorithm'. Together they form a unique fingerprint.

Cite this