• Title/Summary/Keyword: Eyelid extraction

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The study of iris region extraction for iris recognition (홍채 인식을 위한 홍채 영역 추출)

  • Yoon, Kyong-Lok;Yang, Woo-S.
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.181-183
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    • 2004
  • In this paper, We proposed an algorithm which extraction iris region from 2D image. Our method is composed of three parts : internal boundary defection and external boundary detection. Since eyelid and eyelash cover part of the boundary and the size of iris changes continuously, it is difficult to extract iris region accurately. For the interior and exterior boundary detection, we used partial differentiation of histogram. Performance of the proposed algorithm is tested and evaluated using 360 iris image samples.

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An Illumination-Robust Driver Monitoring System Based on Eyelid Movement Measurement (조명에 강인한 눈꺼풀 움직임 측정기반 운전자 감시 시스템)

  • Park, Il-Kwon;Kim, Kwang-Soo;Park, Sangcheol;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.34 no.3
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    • pp.255-265
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    • 2007
  • In this paper, we propose a new illumination-robust drowsy driver monitoring system with single CCD(Charge Coupled Device) camera for intelligent vehicle in the day and night. For this system that is monitoring driver's eyes during a driving, the eye detection and the measure of eyelid movement are the important preprocesses. Therefore, we propose efficient illumination compensation algorithm to improve the performance of eye detection and also eyelid movement measuring method for efficient drowsy detection in various illumination. For real-time application, Cascaded SVM (Cascaded Support Vector Machine) is applied as an efficient eye verification method in this system. Furthermore, in order to estimate the performance of the proposed algorithm, we collect video data about drivers under various illuminations in the day and night. Finally, we acquired average eye detection rate of over 98% about these own data, and PERCLOS(The percentage of eye-closed time during a period) are represented as drowsy detection results of the proposed system for the collected video data.

Ocular Sparganosis: The First Report of Spirometra ranarum in Thailand

  • Saksirisampant, Wilai;Eamudomkarn, Chatanun;Jeon, Hyeong-Kyu;Eom, Keeseon S.;Assavapongpaiboon, Buravej;Sintuwong, Sunisa;Tulvatana, Wasee
    • Parasites, Hosts and Diseases
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    • v.58 no.5
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    • pp.577-581
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    • 2020
  • A 22-year-old Thai man from the Northeast region presented with acute eye swelling, itching, and discharge on his left eye. He was suspected of having gnathostomiasis and treated with albendazole and prednisolone for 3 weeks. Nine months later, he was treated with high-dose oral prednisolone for the preliminary and differential diagnoses with thyroid-associated orbitopathy and lymphoma. He had been administered prednisolone intermittently over a few years. Then he developed a painless movable mass at the left upper eyelid and recurrent pseudotumor oculi was suspected. The surgical removal of the mass was performed. A white pseudosegmented worm revealed a definite diagnosis of ocular sparganosis by a plerocercoid larva. Molecular diagnosis of the causative species was made based on the mitochondrial cytochrome c oxidase subunit 1 (cox1) gene. Proper technique of extraction and amplification of short fragments DNA from formalin-fixed paraffin-embedded tissue successfully identified parasite species. The result from the sequencing of the PCR-amplified cox1 fragments in this study showed 99.0% sequence homology to Spirometra ranarum. This is the first report of S. ranarum in Thailand.

Robust iris recognition for local noise based on wavelet transforms (국부잡음에 강인한 웨이블릿 기반의 홍채 인식 기법)

  • Park Jonggeun;Lee Chulhee
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.2 s.302
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    • pp.121-130
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    • 2005
  • In this paper, we propose a feature extraction method for iris recognition using wavelet transforms. The wavelet transform is fast and has a good localization characteristic. In particular, the low frequency band can be used as an effective feature vector. In iris recognition, the noise caused by eyelid the eyebrow, glint, etc may be included in iris. The iris pattern is distorted by noises by itself, and a feature extraction algorithm based on filter such as Wavelets, Gabor transform spreads noises into whole iris region. Namely, such noises degrade the performance of iris recognition systems a major problem. This kind of noise has adverse effect on performance. In order to solve these problems, we propose to divide the iris image into a number of sub-region and apply the wavelet transform to each sub-region. Experimental results show that the performance of proposed method is comparable to existing methods using Gabor transform and region division noticeably improves recognition performance. However, it is noted that the processing time of the wavelet transform is much faster than that of the existing methods.

Acute Severe Periocular Swelling Caused by Periapical Abscess in a Dog (치근단 농양에 의해 발생된 급성 중증 안구주위부종 1례)

  • Park, Young-Woo;Park, Shin-Ae;Kim, Won-Tae;Kim, Se-Eun;Kim, Tae-Hyun;Ahn, Jae-Sang;Yoon, Jung-Hee;Seo, Kang-Moon
    • Journal of Veterinary Clinics
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    • v.26 no.5
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    • pp.483-485
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    • 2009
  • A 10-year-old, intact female Yorkshire terrier was presented with right side facial swelling for 3 days and periocular swelling had progressed over the last 24 hours. On physical examination, periocular and infraorbital swelling were observed around right maxillary region. Severe ocular discharge and protrusion of the 3rd eyelid were observed. The patient was diagnosed as periapical abscess around the root of right upper first molar based on the skull radiography. Affected tooth was extracted using closed technique. Systemic corticosteroid and antibiotic were administrated and topical corticosteroid/antibiotic combination was applied to the right eye six times a day for 10 days. Ten days after tooth extraction, clinical signs were disappeared completely.