• Title/Summary/Keyword: recognition-rate

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Human Recogmotion based on Retinal Bifurcations and Modified Correlation Function

  • Amin Dehghani
    • International Journal of Computer Science & Network Security
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    • v.24 no.8
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    • pp.169-173
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    • 2024
  • Nowadays high security is an important issue for most of the secure places and recent advances increase the needs of high-security systems. Therefore, needs to high security for controlling and permitting the allowable people to enter the high secure places, increases and extends the use of conventional recognition methods. Therefore, a novel identification method using retinal images is proposed in this paper. For this purpose, new mathematical functions are applied on corners and bifurcations. To evaluate the proposed method we use 40 retinal images from the DRIVE database, 20 normal retinal image from STARE database and 140 normal retinal images from local collected database and the accuracy rate is 99.34 percent.

A Study on Fast Iris Detection for Iris Recognition in Mobile Phone (휴대폰에서의 홍채인식을 위한 고속 홍채검출에 관한 연구)

  • Park Hyun-Ae;Park Kang-Ryoung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.2 s.308
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    • pp.19-29
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    • 2006
  • As the security of personal information is becoming more important in mobile phones, we are starting to apply iris recognition technology to these devices. In conventional iris recognition, magnified iris images are required. For that, it has been necessary to use large magnified zoom & focus lens camera to capture images, but due to the requirement about low size and cost of mobile phones, the zoom & focus lens are difficult to be used. However, with rapid developments and multimedia convergence trends in mobile phones, more and more companies have built mega-pixel cameras into their mobile phones. These devices make it possible to capture a magnified iris image without zoom & focus lens. Although facial images are captured far away from the user using a mega-pixel camera, the captured iris region possesses sufficient pixel information for iris recognition. However, in this case, the eye region should be detected for accurate iris recognition in facial images. So, we propose a new fast iris detection method, which is appropriate for mobile phones based on corneal specular reflection. To detect specular reflection robustly, we propose the theoretical background of estimating the size and brightness of specular reflection based on eye, camera and illuminator models. In addition, we use the successive On/Off scheme of the illuminator to detect the optical/motion blurring and sunlight effect on input image. Experimental results show that total processing time(detecting iris region) is on average 65ms on a Samsung SCH-S2300 (with 150MHz ARM 9 CPU) mobile phone. The rate of correct iris detection is 99% (about indoor images) and 98.5% (about outdoor images).

Compliance Level of Universal Precautions to Hospital Infection and related factors of Health Care Workers in a University Hospital (대학병원 의료종사자들의 병원감염에 대한 예방지침 실행수준과 관련요인)

  • Yu, Mi Jong
    • Korean Journal of Occupational Health Nursing
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    • v.7 no.2
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    • pp.143-154
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    • 1998
  • The purpose of this research is to suggest basic materials for the practical infection precaution program to protect health care workers from hospital infection by grasping their compliance level of Universal Precautions and examining the factors affecting them. The number of the health care workers we studied were 486, including the doctors, the nurses, and the lab technicians who were working in a university hospital. The period of this research was from Aug. 18th, 1997 to Aug. 30th, 1997. The method of the study was to measure the compliance level of Universal Precautions with the item of "Universal Precautions" established by CDC in 1987, and examine the questionnaire of 52 questions dividing related factors into socio-populational, individual, socio-psychological and organizational management ones. The data was analyzed by t-test. ANOVA, and chi-square test. The results were as follows : 1. An the compliance level of Universal Precautions, hand washing had the highest score(85.4%), and doctors(18.9%), nurses(44.0%), and lab technicians(7.6%), had a low compliance level in the safe handling of an injection syringe, and item not to handle patients and their samples when the subject suffered from dermatitis or injury had the lowest score of 17.1%. 23.3% of them said that they wear protection gown, goggles and mask. 2. Female's Compliance level of Universal Precautions Was higher than male. 3. The health care workers who had high recognition on Universal Precautions got significantly higher compliance level of Universal Precautions than those have low recognition on Universal Precautions(P<0.001). 4. The health care workers experienced a needle stick injury had a significantly higher compliance level of Universal Precautions than those who had not(P<0.000). 5. The health care workers who had infection protection education got a significantly higher compliance level of Universal Precautions than those who didn't(P<0.000). 6. The health care workers who had a firm belief in the effect of Universal Precautions got a higher compliance level of Universal Precautions than those who didn't. 7. The health care workers who had less conflicts between treating patient arid protecting them-selves got a higher compliance level of Universal Precautions than others with many conflicts. 8. The health care workers who had a high score in organizational management factors got a significantly higher compliance level of Universal Precautions than those with a low score(P<0.000). 9. Only 16.9 percent of the all respondents(82 in number) answered that they knew well or a little about the Universal Precautions, which is very low rate of recognition. 10. The variables which affected the score in organizational management factors were age, sex, education period, work experience, the kind of work, recognition on Universal Precautions, the experience of needle stick injury, revealing dangerous circumstance related to infection, and training on precaution again infection. According to the result above, compliance level of Universal Precautions showed high correlation with sex, the recognition on Universal Precautions, the experience of needle stick injury, training on precaution against infection, the belief in the effect of Universal Precautions, the recognition degree of conflicts and organizatinal management factors. These results could be used as the basic materials for the developing infection protection programs. Also, There should have a systematic training course to elevate a effective compliance level of Universal Precautions as well as the manageeent of infection protection programs.

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Recognition of Resident Registration Card using ART2-based RBF Network and face Verification (ART2 기반 RBF 네트워크와 얼굴 인증을 이용한 주민등록증 인식)

  • Kim Kwang-Baek;Kim Young-Ju
    • Journal of Intelligence and Information Systems
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    • v.12 no.1
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    • pp.1-15
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    • 2006
  • In Korea, a resident registration card has various personal information such as a present address, a resident registration number, a face picture and a fingerprint. A plastic-type resident card currently used is easy to forge or alter and tricks of forgery grow to be high-degree as time goes on. So, whether a resident card is forged or not is difficult to judge by only an examination with the naked eye. This paper proposed an automatic recognition method of a resident card which recognizes a resident registration number by using a refined ART2-based RBF network newly proposed and authenticates a face picture by a template image matching method. The proposed method, first, extracts areas including a resident registration number and the date of issue from a resident card image by applying Sobel masking, median filtering and horizontal smearing operations to the image in turn. To improve the extraction of individual codes from extracted areas, the original image is binarized by using a high-frequency passing filter and CDM masking is applied to the binaried image fur making image information of individual codes better. Lastly, individual codes, which are targets of recognition, are extracted by applying 4-directional contour tracking algorithm to extracted areas in the binarized image. And this paper proposed a refined ART2-based RBF network to recognize individual codes, which applies ART2 as the loaming structure of the middle layer and dynamicaly adjusts a teaming rate in the teaming of the middle and the output layers by using a fuzzy control method to improve the performance of teaming. Also, for the precise judgement of forgey of a resident card, the proposed method supports a face authentication by using a face template database and a template image matching method. For performance evaluation of the proposed method, this paper maked metamorphoses of an original image of resident card such as a forgey of face picture, an addition of noise, variations of contrast variations of intensity and image blurring, and applied these images with original images to experiments. The results of experiment showed that the proposed method is excellent in the recognition of individual codes and the face authentication fur the automatic recognition of a resident card.

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A study on the recognition and requirement of dental hygienists for enforcing specialty (치위생 학사학위 전공심화과정 인식 및 취득의향)

  • Kim, Seon-Yeong;Kim, Ji-Young
    • Journal of Korean society of Dental Hygiene
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    • v.10 no.1
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    • pp.19-31
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    • 2010
  • Objectives : This study was to seek the ways for strengthening the higher curricula for the bachelor's degree of the dental hygiene. For this two things are investigated with some students of the dental hygiene departments of colleges and workers on the part; one is what the recognition about the curricula is, and the other what are the demanding degrees through the curricula. Methods : The study has been performed with 298 people who work for dental hygiene of dental clinics and students of the departments in B region by using structured and self-administered questionnaire from March to May, 2008, and were analyzed by using SPSS 14.0 program. Results : The rate to recognize the higher curricula for the bachelor degree is 88.9%. And 70.4% among them says the curricula is 'absolutely necessary' or 'necessary'. The ways to recognize the curricula are through 'professor or friends'(53.4%), through 'newspapers of broad-casting reports'(20.5%), and through 'internet'(14.4%). They want various teaching ways including the project-centered education(40.4%), lecture-like education(25.0%), field-experience within the workplace(14.4%), lectures in the workplace(10.6%), and discussion(9.6%). Those who works in the dental clinics want night classes(49.5%, 96 respondents), internet classes(16.5%, 32 respondents), and weekend classes(14.4%, 28 respondents). They like to learn majors more deeply(30.9%), important techniques and theories about their job(26.8%), and the new skills on their work(19.8%). Conclusions : persons who are workers for dental hygiene of dental clinics and students of the departments have a requirement of dental hygienists for enforcing specialty. Therefor improve to develop education program and system about development of advance course for hygienists.

A Study on the Mixed Model Approach and Symbol Probability Weighting Function for Maximization of Inter-Speaker Variation (화자간 변별력 최대화를 위한 혼합 모델 방식과 심볼 확률 가중함수에 관한 연구)

  • Chin Se-Hoon;Kang Chul-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.7
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    • pp.410-415
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    • 2005
  • Recently, most of the speaker verification systems are based on the pattern recognition approach method. And performance of the pattern-classifier depends on how to classify a variety of speakers' feature parameters. In order to classify feature parameters efficiently and effectively, it is of great importance to enlarge variations between speakers and effectively measure distances between feature parameters. Therefore, this paper would suggest the positively mixed model scheme that can enlarge inter-speaker variation by searching the individual model with world model at the same time. During decision procedure, we can maximize inter-speaker variation by using the proposed mixed model scheme. We also make use of a symbol probability weighting function in this system so as to reduce vector quantization errors by measuring symbol probability derived from the distance rate of between the world codebook and individual codebook. As the result of our experiment using this method, we could halve the Detection Cost Function (DCF) of the system from $2.37\%\;to\;1.16\%$.

A Study on the Weight Allocation Method of Humanist Input Value and Multiplex Modality using Tacit Data (암묵 데이터를 활용한 인문학 인풋값과 다중 모달리티의 가중치 할당 방법에 관한 연구)

  • Lee, Won-Tae;Kang, Jang-Mook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.157-163
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    • 2014
  • User's sensitivity is recognized as a very important parameter for communication between company, government and personnel. Especially in many studies, researchers use voice tone, voice speed, facial expression, moving direction and speed of body, and gestures to recognize the sensitivity. Multiplex modality is more precise than single modality however it has limited recognition rate and overload of data processing according to multi-sensing also an excellent algorithm is needed to deduce the sensing value. That is as each modality has different concept and property, errors might be happened to convert the human sensibility to standard values. To deal with this matter, the sensibility expression modality is needed to be extracted using technologies like analyzing of relational network, understanding of context and digital filter from multiplex modality. In specific situation to recognize the sensibility if the priority modality and other surrounding modalities are processed to implicit values, a robust system can be composed in comparison to the consuming of computer resource. As a result of this paper, it is proposed how to assign the weight of multiplex modality using implicit data.

Obstacle Avoidance of Indoor Mobile Robot using RGB-D Image Intensity (RGB-D 이미지 인텐시티를 이용한 실내 모바일 로봇 장애물 회피)

  • Kwon, Ki-Hyeon;Lee, Hyung-Bong
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.10
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    • pp.35-42
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    • 2014
  • It is possible to improve the obstacle avoidance capability by training and recognizing the obstacles which is in certain indoor environment. We propose the technique that use underlying intensity value along with intensity map from RGB-D image which is derived from stereo vision Kinect sensor and recognize an obstacle within constant distance. We test and experiment the accuracy and execution time of the pattern recognition algorithms like PCA, ICA, LDA, SVM to show the recognition possibility of it. From the comparison experiment between RGB-D data and intensity data, RGB-D data got 4.2% better accuracy rate than intensity data but intensity data got 29% and 31% faster than RGB-D in terms of training time and intensity data got 70% and 33% faster than RGB-D in terms of testing time for LDA and SVM, respectively. So, LDA, SVM have good accuracy and better training/testing time to use for obstacle avoidance based on intensity dataset of mobile robot.

Comparison of environmental sound classification performance of convolutional neural networks according to audio preprocessing methods (오디오 전처리 방법에 따른 콘벌루션 신경망의 환경음 분류 성능 비교)

  • Oh, Wongeun
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.3
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    • pp.143-149
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    • 2020
  • This paper presents the effect of the feature extraction methods used in the audio preprocessing on the classification performance of the Convolutional Neural Networks (CNN). We extract mel spectrogram, log mel spectrogram, Mel Frequency Cepstral Coefficient (MFCC), and delta MFCC from the UrbanSound8K dataset, which is widely used in environmental sound classification studies. Then we scale the data to 3 distributions. Using the data, we test four CNNs, VGG16, and MobileNetV2 networks for performance assessment according to the audio features and scaling. The highest recognition rate is achieved when using the unscaled log mel spectrum as the audio features. Although this result is not appropriate for all audio recognition problems but is useful for classifying the environmental sounds included in the Urbansound8K.

Survey on Medical doctors' awareness and perceptions of Bisphosphonate-related osteonecrosis of the jaw (비스포스포네이트 관련 악골괴사 (Bisphosphonate-Related Osteonecrosis of the Jaw)에 관한 의사의 인식도 조사)

  • Kim, Jin-Woo;Jeong, Su-Ra;Pang, Eun-Kyoung;Kim, Sun-Jong
    • The Journal of the Korean dental association
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    • v.53 no.10
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    • pp.732-742
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    • 2015
  • The objective of this study was to identify bisphosphonate-related osteonecrosis of the jaw (BRONJ) awareness and experience level of patients by medical doctors who prescribes bisphosphonate being used, analyze dental examination referral reality and to utilize its result as basic education data for early diagnosis of BRONJ and its prevention. The study was carried out through a self-administered questionnaire distributed among a sample 192 residents and specialists. They belonged to family medicine, internal medicine and orthopedics of 6 tertiary medical centers located in Seoul. The survey consisted of 22 questions; general characteristics, bisphosphonate therapy, awareness of BRONJ, implementation level of dental examination referral. Among 192 medical doctorss, 78.1% (n=150) showed awareness of BRONJ. Only 8.9% (n=17) had correct response in all 5 BRONJ knowledge questions. Dental examination referral by medical doctors was implemented in below 30% of the total patients. At the time of bisphosphonate administration, specialist of oncology most highly recognized necessity of dental examination referral and it was represented in the order of endocrinology, rheumatology, family medicine, orthopedics specialists. As recognition of medical doctors for BRONJ and implementation level of dental referral were represented to be low, it is considered that enhancement of BRONJ recognition for medical doctors and development of high accessible education program for increasing implementation rate of dental examination referral would be required.