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Face Recognition on Linear Motion-blurred Image.

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  • معلومة اضافية
    • Author-Supplied Keywords:
      face recognition
      image blurring
      laplacian filter
      singular value decomposition
    • Abstract:
      Most face recognition algorithms are generally capable to achieve a high level of accuracy when the image is acquired under wellcontrolled conditions. The face should be still during the acquisition process; otherwise, the resulted image would be blur and hard for recognition. Enforcing persons to stand still during the process is impractical; extremely likely that recognition should be performed on a blurred image. It is important to understand the relation between the image blur and the recognition accuracy. The ORL Database was used in the study. All images were in PGM format of 92 × 112 pixels from forty different persons, ten images per person. Those images were randomly divided into training and testing datasets with 50-50 ratio. Singular value decomposition was used to extract the features. The images in the testing datasets were artificially blurred to represent a linear motion, and recognition was performed. The blurred images were also filtered using various methods. The accuracy levels of the recognition on the basis of the blurred faces and filtered faces were compared. The performed numerical study suggests that at its best, the image improvement processes are capable to improve the recognition accuracy level by less than five percent. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Telkomnika is the property of Department of Electrical Engineering, Ahmad Dahlan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1Industrial Engineering Department, BINUS Graduate Program-Master of Industrial Engineering, Bina Nusantara University, Jl. Kebon Jeruk Raya No. 27, Jakarta 11530, Indonesia
      2Department of Mechanical Engineering, Toyohashi University of Technology Toyohashi, Aichi 441-8580, Japan
    • ISSN:
      1693-6930
    • Accession Number:
      10.12928/TELKOMNIKA.v16i3.5480
    • Accession Number:
      129380848
  • Citations
    • ABNT:
      GUNAWAN, F. E.; JEKLIN HAREFA; NOBUMASA SEKISHITA. Face Recognition on Linear Motion-blurred Image. Telkomnika, [s. l.], v. 16, n. 3, p. 1249–1255, 2018. DOI 10.12928/TELKOMNIKA.v16i3.5480. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=129380848&custid=s8280428. Acesso em: 20 out. 2020.
    • AMA:
      Gunawan FE, Jeklin Harefa, Nobumasa Sekishita. Face Recognition on Linear Motion-blurred Image. Telkomnika. 2018;16(3):1249-1255. doi:10.12928/TELKOMNIKA.v16i3.5480
    • APA:
      Gunawan, F. E., Jeklin Harefa, & Nobumasa Sekishita. (2018). Face Recognition on Linear Motion-blurred Image. Telkomnika, 16(3), 1249–1255. https://doi.org/10.12928/TELKOMNIKA.v16i3.5480
    • Chicago/Turabian: Author-Date:
      Gunawan, Fergyanto E., Jeklin Harefa, and Nobumasa Sekishita. 2018. “Face Recognition on Linear Motion-Blurred Image.” Telkomnika 16 (3): 1249–55. doi:10.12928/TELKOMNIKA.v16i3.5480.
    • Harvard:
      Gunawan, F. E., Jeklin Harefa and Nobumasa Sekishita (2018) ‘Face Recognition on Linear Motion-blurred Image’, Telkomnika, 16(3), pp. 1249–1255. doi: 10.12928/TELKOMNIKA.v16i3.5480.
    • Harvard: Australian:
      Gunawan, FE, Jeklin Harefa & Nobumasa Sekishita 2018, ‘Face Recognition on Linear Motion-blurred Image’, Telkomnika, vol. 16, no. 3, pp. 1249–1255, viewed 20 October 2020, .
    • MLA:
      Gunawan, Fergyanto E., et al. “Face Recognition on Linear Motion-Blurred Image.” Telkomnika, vol. 16, no. 3, June 2018, pp. 1249–1255. EBSCOhost, doi:10.12928/TELKOMNIKA.v16i3.5480.
    • Chicago/Turabian: Humanities:
      Gunawan, Fergyanto E., Jeklin Harefa, and Nobumasa Sekishita. “Face Recognition on Linear Motion-Blurred Image.” Telkomnika 16, no. 3 (June 2018): 1249–55. doi:10.12928/TELKOMNIKA.v16i3.5480.
    • Vancouver/ICMJE:
      Gunawan FE, Jeklin Harefa, Nobumasa Sekishita. Face Recognition on Linear Motion-blurred Image. Telkomnika [Internet]. 2018 Jun [cited 2020 Oct 20];16(3):1249–55. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=129380848&custid=s8280428