Fusion of speech and handwritten signatures biometrics for person identification

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Cite
Abushariah, Ahmad A. M., et al. “Fusion of Speech and Handwritten Signatures Biometrics for Person Identification”. International Journal of Speech Technology, vol. 26, no. 4, 2023, pp. 833-50, https://doi.org/10.1007/s10772-023-10052-x.
Abushariah, A. A. M., Abushariah, M. A. M., Gunawan, T. S., Chebil, J., Alqudah, A. A. M., Ting, H.-N., & Mustafa, M. B. P. (2023). Fusion of speech and handwritten signatures biometrics for person identification. International Journal of Speech Technology, 26(4), 833-850. https://doi.org/10.1007/s10772-023-10052-x
Abushariah, Ahmad A. M., Mohammad A. M. Abushariah, Teddy Surya Gunawan, J. Chebil, Assal A. M. Alqudah, Hua-Nong Ting, and Mumtaz Begum Peer Mustafa. “Fusion of Speech and Handwritten Signatures Biometrics for Person Identification”. International Journal of Speech Technology 26, no. 4 (2023): 833-50. https://doi.org/10.1007/s10772-023-10052-x.
Abushariah AAM, Abushariah MAM, Gunawan TS, Chebil J, Alqudah AAM, Ting HN, et al. Fusion of speech and handwritten signatures biometrics for person identification. International Journal of Speech Technology. 2023;26(4):833-50.
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Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
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Citations
Title Journal Journal Categories Citations Publication Date
Modern Standard Arabic speech disorders corpus for digital speech processing applications International Journal of Speech Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 2024
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Modern Standard Arabic speech disorders corpus for digital speech processing applications and was published in 2024. The most recent citation comes from a 2024 study titled Modern Standard Arabic speech disorders corpus for digital speech processing applications. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals. Among related journals, the International Journal of Speech Technology cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year