• 제목/요약/키워드: Finger measuring system

검색결과 47건 처리시간 0.032초

Noninvasive Hematocrit Monitoring Based on Parameter-optimization of a LED Finger Probe

  • Yoon, Gil-Won;Jeon, Kye-Jin
    • Journal of the Optical Society of Korea
    • /
    • 제9권3호
    • /
    • pp.107-110
    • /
    • 2005

  • An optical method of measuring hematocrit noninvasively is presented. An LED Light with multiple wavelengths was irradiated on fingernail and transmitted light from the finger was measured to predict hematocrit. A finger probe contained an LED array and detector. Our previous experience showed that prediction accuracy was sensitive to reliability of the finger probe hardware and we optimized the finger probe parameters such as the internal color, detector area and the emission area of a light source based on Design of Experiment. Using the optimized finger probe, we developed a hematocrit monitoring system and tested with 549 persons. For the calibration model with 368 persons, a regression coefficient of 0.74 and a standard deviation of 3.67 and the mean percent error of $8\%$ were obtained. Hematocrits for 181 persons were predicted. We achieved a mean percent error of $8.2\%$ where the regression coefficient was 0.68 and the standard deviation was 3.69.

  • https://doi.org/10.3807/JOSK.2005.9.3.107 인용 PDF KSCI

비접촉 손 영상에서 손가락 면을 이용한 개인 식별 (Personal Identification Using Inner Face of Fingers from Contactless Hand Image)

  • 김민기
    • 한국멀티미디어학회논문지
    • /
    • 제17권8호
    • /
    • pp.937-945
    • /
    • 2014

  • Multi-modal biometric system can use another biometric trait in the case of having deficiency at a biometric trait. It also has an advantage of improving the performance of personal identification by using multiple biometric traits, so studies on new biometric traits have continuously been performed. The inner face of finger is a relatively new biometric trait. It has two major features of knuckle lines and wrinkles, which can be used as discriminative features. This paper proposes a finger identification method based on displacement vector to effectively process some variation appeared in contactless hand image. At first, the proposed method produces displacement vectors, which are made by connecting corresponding points acquired by matching each pair of local block. It then recognize finger by measuring the similarity among all the detected displacement vectors. The experimental results using pubic CASIA hand image database show that the proposed method may be effectively applied to personal identification.

  • https://doi.org/10.9717/kmms.2014.17.8.937 인용 PDF KSCI KPUBS HTML