ANALYSIS OF INFORMATION TECHNOLOGY IDENTIFICATION OF HUMAN FACES

Authors

  • Roman Naumovych Kvietnyi Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Yurii Vitaliiovych Poremskyi Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Oleksandra Anatoliivna Kulyk Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Roman Oleksandrovych Perehonchuk Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

Abstract

The review of the available IT of human face recognition in the video data stream is carried out. Advantages and disadvantages of each IT are detected. The comparison of open (free) and proprietary (commercial) software of human face recognition is carried out.

Author Biographies

Roman Naumovych Kvietnyi, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

d.t.s., professor, a head of automation and information-measuring instrument

Yurii Vitaliiovych Poremskyi, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

c.t.s., senior teacher of computer science

Oleksandra Anatoliivna Kulyk, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

student of the Department of automation and information-measuring instrument

Roman Oleksandrovych Perehonchuk, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

student of the Department of automation and information-measuring instrument

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How to Cite

[1]
R. N. Kvietnyi, Y. V. Poremskyi, O. A. Kulyk, and R. O. Perehonchuk, “ANALYSIS OF INFORMATION TECHNOLOGY IDENTIFICATION OF HUMAN FACES”, ІТКІ, vol. 21, no. 2, Oct. 2012.

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Section

Information technology and coding theory

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