• Journal of KIISE
• /
• v.44 no.3
• /
• pp.295-305
• /
• 2017

Facial appearance is greatly influenced by illumination conditions, and therefore illumination variation is one of the factors that degrades performance of face recognition systems. In this paper, we propose a robust method for face representation under varying illumination conditions, combining non-alpha Weberface (non-alpha WF) and histogram equalization. We propose a two-step method: (1) for a given face image, non-alpha WF, which is not applied a parameter for adjusting the intensity difference between neighboring pixels in WF, is computed; (2) histogram equalization is performed to non-alpha WF, to make a uniform histogram distribution globally and to enhance the contrast. $(2D)^2PCA$ is applied to extract low-dimensional discriminating features from the preprocessed face image. Experimental results on the extended Yale B face database and the CMU PIE face database show that the proposed method yielded better recognition rates than several illumination processing methods as well as the conventional WF, achieving average recognition rates of 93.31% and 97.25%, respectively.

• Journal of KIISE:Software and Applications
• /
• v.30 no.9
• /
• pp.885-893
• /
• 2003

In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face image, is proposed. The approach works by finding the nose tip that has a protrusion shape on the face. In feature recognition of 3D face image, one has to take into consideration the orientated frontal posture to normalize. Next, the special points in regions, such as nose, eyes and mouth are detected. The depth of nose, the area of nose and the volume of nose based both on the 3 longitudinal section and a transection are calculated. The eye interval and mouth width are also computed. Finally, the 12 features on the face were extracted. The Ll measure for comparing two feature vectors were used, because it is simple and robust. In the experimental results, proposed method achieves recognition rate of 95.5% for the longitudinal section and transection.

• The KIPS Transactions:PartB
• /
• v.17B no.6
• /
• pp.437-444
• /
• 2010

In this paper, we propose a method of analysing the relation between the patient's face color and his(her) kidney disease using image processing technology. This method is based on the ocular inspection which is one of the most famous diagnosis methods used in the oriental medical system. The way of processing and analysing the face image, which is for visualization and objectification of the color difference, is included. The objects are selected from the patients who suffer the kidney disease and use the hemodialyzer. Their facial images and clinical data are collected. From these data, we propose a hypothesis that the color of the patient's face is changed according to the patient's kidney state. At the same time, we present two algorithms of extracting the specific part of face which can identify the state of the patient's kidney and tracing the history of the color's change. This proposed method is evaluated through the practical experiments and their analysis.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.2B
• /
• pp.168-175
• /
• 2011

In modem society, human relationships has been received much attention as important element to judge the success as well as the social life of the individual. To respond to these changing times has been used various ways to maintain an appropriate relationship that each other's character can be predicted. In this paper, we should be carried out a study on correlation analysis and features of five-character types to extract shape of philtrum, mouth, ears in facial image of Men in the 20's for Interview system application. From this, we extracted to area of philtrum, mouth, ears by Visual C++ to face and side image. Then we performed analysis, comparison a group of S-character types to find a result according to philtrum rate, mouth size, shape of ears. As a result, we drew a significance through morphological results by philtrum rate, mouth size, shape of ears as five-character types.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.10
• /
• pp.2231-2238
• /
• 2011

In this paper, the extract method of eye and eye-line from picture of a person is proposed. Most of existing papers are to extract the position of eyeball but in this paper, by extracting not only the position of eyeball but also eye-line, it can be applied to the face application program variously. The experimental data of the input picture is a full face photograph taken by smart phone, basically the picture is limited to the face of one person and back ground can be taken from every where and no restriction of race. The proposed method is to extract face candidated area by using Harr Classifier and set up the candidate area of eye position from face candidate area. To extract high value from eye candidate area using dilate operation, and proposed the method to classify eye and eyelash by local thresholding of the picture. After that, using thresholding image from eyemapC that Hsu's suggested, and separated the area with eye and without eye. Finally extract the contour of eye and detect eye-line using optimum ellipse estimation.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.2
• /
• pp.11-20
• /
• 2010

In this paper we propose a face detection system which consists of a method of face candidate extraction using skin color and a method of face verification using the feature of facial structure. Firstly, the proposed extraction method of face candidate uses the image segmentation and merging algorithm in the regions of skin color and the neighboring regions of skin color. These two algorithms make it possible to select the face candidates from the variety of faces in the image with complicated backgrounds. Secondly, by using the partial face classifier, the proposed face validation method verifies the feature of face structure and then classifies face and non-face. This classifier uses face images only in the learning process and does not consider non-face images in order to use less number of training images. In the experimental, the proposed method of face candidate extraction can find more 9.55% faces on average as face candidates than other methods. Also in the experiment of face and non-face classification, the proposed face validation method obtains the face classification rate on the average 4.97% higher than other face/non-face classifiers when the non-face classification rate is about 99%.

• Journal of Internet Computing and Services
• /
• v.18 no.1
• /
• pp.21-26
• /
• 2017

In this paper, an USB-OTG (Uiversal Serial Bus On-the-go) interface module was designed with the iris information for personal identification. The image recognition algorithm which was searching face and iris areas, was proposed with pixel differences from eye blinking after several facial images were captured and then detected without any activities like as pressing the button of smart phone. The region of pupil and iris could be fast involved with the proper iris area segmentation from the pixel value calculation of frame difference among the images which were detected with two adjacent open-eye and close-eye pictures. This proposed iris recognition could be fast processed with the proper grid size of the eye region, and designed with the frame difference between the adjacent images from the USB-OTG interface with this camera module with the restrict of searching area in face and iris location. As a result, the detection time of iris location can be reduced, and this module can be expected with eliminating the standby time of eye-open.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.20 no.2
• /
• pp.488-493
• /
• 2006

To make a objective diagnosis of Dam Hun(痰暈), we investigated the 63 patients with Dam Hun(痰暈) and 34 normal people as control group. we compared the thermal difference between Chon-jung(CV17 ) and Chung-wan(CV12 中脘), Chon-jung(CV17 ) and Gwan-won(CV4 關元) and we compared the thermal difference of Yang-mun(ST21 梁門), Chun_chu(ST25 天樞), Su-do(ST28 水道), too. All 63 patients had dizziness and GI trouble. They had the symptom - fatigue, nausea vomitting, head heaviness, indigestion, cold limbs, headache, heart burn, constipation, diarrhea, anorexia. And some had edema, numbness, insomnia, palpitation, facial flushing, dysuria, ringing. Considering the average temparature of Chon-jung(CV17 ), Chung-wan(CV12 中脘), Gwan-won(CV4 關元), Yang-mun(ST21 梁門), Chun-chu(ST25 天樞), Su-do(ST28 水道) between the patients group and the control group, the patients group were lower than the control group except for Chon-jung(CV17 ), Gwan-won(CV4 關元), but the statistical significance was not. Considering the thermal difference of Chon-jung(CV17 ) and Chung-wan(CV12 中脘), Gwan-won(CV4 關元), Yang-mun(ST21 梁門), Chun-chu(ST25 天樞), Su-do(ST28 氷道) between the patients group and the control group, the temparature deviation of Chon-jung(CV17 ) and Chung-wan(CV12 中脘), Chon-jung(CV17 ) and Yang-mun(ST21 梁門) was significant. We suggest that coldness of upper abdomen is significant in diagnosis of Dam Hun(痰暈).

• Archives of Craniofacial Surgery
• /
• v.13 no.2
• /
• pp.95-98
• /
• 2012

Nowadays, plastic surgical operations are increasingly being performed in Korea. We have gained added interest in this because some professional pictures contain plastic surgery in their venue. In the films, we intend to see the recognition of society for plastic surgeons and which field of plastic surgery. The list of movies for analysis were 'Plastic Beauty (1975)', 'Penthouse Elephant (2005)', '200 Pounds Beauty (2006)', 'Cinderella (2006)', and 'Time (2006)'. The TV dramas were 'She is looking (2005)', 'Lovers (2006-2007)', and 'Before & After Plastic Surgery Clinic (2008)'. Films were analyzed according to the following: the chief complaints and names of the operations, character of plastic surgeons, result of the operation and its possibility in reality, and its effect of plastic surgery on the life of the patients. Most of the film contained facial transplantation or the change of the face or body different from the original shape. Character type of the plastic surgeons was mostly medical realism, rather than ideal humanism. Most of the plastic surgeons have capability as a doctor; however, some of them had extramarital affairs. The surgery was successful in most of the cases, but were the patients happy with the results? This was not the case in the movies. In only one movie, '200 Pounds Beauty', the patient became happy; rest of them were eminently unhappy with the outcome. Why the discrepancy? It is difficult to analyze the minds of the people in the films, but considering that the majority of the characters in the films were rather unsavory, one may deduce that a crooked mind functions differently. Perhaps it is too much to hope for a day that will come when we will see a film that portrays the mental anguish that accompanies each and every procedure the Korean plastic surgeons make.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.38 no.6
• /
• pp.608-616
• /
• 2001

This paper proposes a face recognition technique that effectively combines fixed graph matching (FGM) and Fisherface algorithm. EGM as one of dynamic link architecture uses not only face-shape but also the gray information of image, and Fisherface algorithm as a class specific method is robust about variations such as lighting direction and facial expression. In the proposed face recognition adopting the above two methods, linear projection per node of an image graph reduces dimensionality of labeled graph vector and provides a feature space to be used effectively for the classification. In comparison with a conventional EGM, the proposed approach could obtain satisfactory results in the perspectives of recognition speeds. Especially, we could get higher average recognition rate of 90.1% than the conventional methods by hold-out method for the experiments with the Yale Face Databases and Olivetti Research Laboratory (ORL) Databases.