• Title/Summary/Keyword: 소벨

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Recognition of Passport Image Using Removing Noise Branches and Enhanced Fuzzy ART (잡영 가지 제거 알고리즘과 개선된 퍼지 ART를 이용한 여권 코드 인식)

  • Lee, Sang-Soo;Jang, Do-Won;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.377-382
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    • 2005
  • 본 논문에서는 출입국자 관리의 효율성과 체계적인 출입국 관리를 위하여 여권 코드를 자동으로 인식하는 방법을 제안한다. 여권 이미지는 기울어진 상태로 스캔 되어 획득되어질 수도 있으므로 기울기 보정은 문자 분할 및 인식에 있어 매우 중요하다. 따라서 본 논문에서는 여권 영상을 스미어링한 후, 추출된 문자열 중에서 가장 긴 문자열을 선택하고 이 문자열의 좌측과 우측 부분의 두께 중심을 연결하는 직선과 수평선과의 기울기를 이용하여 여권 영상에 대한 각도 보정을 수행한다. 여권 코드 추출은 소벨 연산자와 수평 스미어링, 8방향 윤관선 추적 알고리즘을 적용하여 여권 코드의 문자열 영역을 추출하고, 추출된 여권 코드 문자열 영역에 대해 반복 이진화 방법을 적용하여 코드의 문자열 영역을 이진화 한다, 이진화된 문자열 영역에 대해 여권 코드의 인식율을 높이기 위하여 잡영 가지 제거 알고리즘을 적용하여 개별 문자의 잡영을 제거한 후에 개별 코드를 추출하며, CDM 마스크를 적용하여 추출된 개별코드를 복원한다. 추출된 개별코드는 개선된 퍼지 ART 알고리즘을 제안하여 인식에 적용한다. 실제 여권 영상을 대상으로 실험한 결과, CDM 마스크를 이용하여 추출된 개별 코드를 개선된 퍼지 ART 알고리즘을 적용하여 인식한 방법보다 잡영 제거 알고리즘과 CDM 마스크를 적용하여 개선된 퍼지 ART 알고리즘으로 개별 코드를 인식하는 것이 효율적인 것을 확인하였다. 그리고 기존의 퍼지 ART 알고리즘을 이용하여 개별 코드를 인식하는 경우보다 본 논문에서 제안한 개선된 퍼지 ART 알고리즘을 이용하여 개별 코드를 인식하는 경우가 서로 다른 패턴들이 같은 클러스터로 분류되지 않아 인식 성능이 개선되었다.생산하고 있다. 또한 이러한 자료를 바탕으로 지역통계 수요에 즉각 대처할 수 있다. 더 나아가 이와 같은 통계는 전 국민에 대한 패널자료이기 때문에 통계적 활용의 범위가 방대하다. 특히 개인, 가구, 사업체 등 사회 활동의 주체들이 어떻게 변화하는지를 추적할 수 있는 자료를 생산함으로써 다양한 인과적 통계분석을 할 수 있다. 행정자료를 활용한 인구센서스의 이러한 특징은 국가의 교육정책, 노동정책, 복지정책 등 다양한 정책을 정확한 자료를 근거로 수립할 수 있는 기반을 제공한다(Gaasemyr, 1999). 이와 더불어 행정자료 기반의 인구센서스는 비용이 적게 드는 장점이 있다. 예를 들어 덴마크나 핀란드에서는 조사로 자료를 생산하던 때의 1/20 정도 비용으로 행정자료로 인구센서스의 모든 자료를 생산하고 있다. 특히, 최근 모든 행정자료들이 정보통신기술에 의해 데이터베이스 형태로 바뀌고, 인터넷을 근간으로 한 컴퓨터네트워크가 발달함에 따라 각 부처별로 행정을 위해 축적한 자료를 정보통신기술로 연계${cdot}$통합하면 막대한 조사비용을 들이지 않더라도 인구센서스자료를 적은 비용으로 생산할 수 있는 근간이 마련되었다. 이렇듯 행정자료 기반의 인구센서스가 많은 장점을 가졌지만, 그렇다고 모든 국가가 당장 행정자료로 인구센서스를 대체할 수 있는 것은 아니다. 행정자료로 인구센서스통계를 생산하기 위해서는 각 행정부서별로 사용하는 행정자료들을 연계${cdot}$통합할 수 있도록 국가사회전반에 걸쳐 행정 체제가 갖추어져야 하기 때문이다. 특히 모든 국민 개개인에 관한 기본정보, 개인들이 거주하며 생활하는 단위인 개별 주거단위에 관한 정보가 행정부에 등록되어

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The effects of Social Capital of old-old elderly of more than 70-year-old on their health-related quality of life (70세 이상 후기노인의 사회적자본이 건강관련 삶의 질에 미치는 영향)

  • Kim, Kyung-Hee;Lee, Sung-Kook;Yoon, Hee-Jung;Kwon, Gi-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.3889-3901
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    • 2015
  • This study was examined the effects of social capital influenced on health related quality of life of old-old-elderly of more than 70-year-old. The subjects were 258 people of old-old-elderly of more than 70-year-old who dwell in M city. The first, October 15 to November 15, 2013, the second, December 1 to 30, 2014 were surveyed. The data were analyzed with SPSS Statistics 18.0 and the structural equation modeling of AMOS 21.0. The Sobel test was conducted to analyze the statistical significance of the mediated effects. The factors of health-related quality of life were influenced significantly by gender, education level, whether or not exercise, amount of sleeping time, family can be a help request, relatives can be a help request, general trust. In the results of the test of the research model, social capital was found to directly affect health behavior, and health behavior was found to directly affect health related quality of life. Therefore, social capital was found to indirectly affect health related quality of life. Social capital of old-old elderly of more than 70-year-old can be recognized as one of the factors influencing their health related quality of life. The results suggest that policy should be established to increasing the level of social capital and improved the health related quality of life.

An Empirical Study on the Effect of Market and Technology Orientation on the Innovation Performance of Global Firms (글로벌 기업의 시장지향성과 기술지향성이 기술혁신성과에 미치는 영향의 실증연구)

  • Hwang, Sang Don;Lee, Seong Hwan;Lee, Woon Seek
    • International Area Studies Review
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    • v.22 no.4
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    • pp.145-166
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    • 2018
  • This study is due to global competition, the wall between regions is disappearing, customer needs are diversified, and market and technology are rapidly changing. Future growth engines, the importance of convergence capabilities for industrial competitiveness is being emphasized more. Therefore, companies should seek innovative means to increase the efficiency of the company by establishing optimized global management environment and establishing direction and strategy for utilization of convergence technology by improving industrial competitiveness. Firms must adopt and utilize related new technologies by strengthening their convergence capabilities through dynamic capabilities that are internal resource bases for new product development and process innovation. Globalize markets and technologies can expect higher innovation performance when aligning strategic direction with formalized technology competencies held by the firm and incorporating the convergence capabilities needed for technological innovation into processes. The study focuses on the effects of market and technology orientation on technological innovation performance, whether dynamic and convergence capabilities affect technological innovation performance, and dynamic and convergence capabilities to mediate between market and technology orientation. For the study, we surveyed 51.4% of global and multinational corporations that are internationally active or headquartered overseas. Based on the previous studies, hypotheses were established and the collected data were analyzed through utilization path analysis and Sobel test.

Structural Relationship among Self Leadership, Social Support and School Adjustment Impacting on Academic Achievement of University Students - Focusing on the Case of S University (학업성취에 영향을 미치는 셀프리더십 및 사회적지지와 대학생활적응과의 구조적 관계 - S대학교 대학생 사례를 중심으로)

  • Lee, Eun-jung;Song, Young-soo
    • Journal of vocational education research
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    • v.37 no.6
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    • pp.63-83
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    • 2018
  • The purpose of this study is to identify the main factors helping university students sucessfully adapt to campus life and achieve academic accomplishment through a critical period in personal development. For this purpose, the analysis verifying influence of self leadership as an individual trait variable and social support as a socio environmental trait variable on academic achievement of university students and the mediating effect of school adjustment among them was conducted. Total 271 responses collected by implementing a questionnaire survey in "S", a four-year private university located in Seoul, were used for the analysis. The validity of the measurement was verified through confirmatory factor analysis and the relationship among the variables was examined through structural model equation, bootstrap and sobel test. The major finding of this study are as follows. First, this study confirmed the causal relationship of self leadership and social support impacting on academic achievement of university students. This result suggests that an integrated approach taking into account both individual and socio environmental factors is necessary to support academic achievement of university students. Second, it was proved that self leadership and social support indirectly influences academic achievement through school adjustment. This demonstrates that school adjustment is an important predictor of academic achievement as well as plays a major role in mediating among self leadership, social support and academic achievement. In conclusion, the results of this study conveys its significance in suggesting the necessity to provide insititutional support on individual trait and socio environmental factor enabling university students sucessfully to adapt to campus life and achieve academic achievement.

Study on the Front Detection Techniques by using Satellite Data (위성 자료를 이용한 전선 탐지 기법 연구)

  • Hwang, Do-Hyun;Bak, Su-Ho;Enkhjargal, Unuzaya;Jeong, Min-Ji;Kim, Na-Kyeong;Park, Mi-So;Kim, Bo-Ram;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1201-1208
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    • 2020
  • A mass of seawater with similar properties in the ocean is called a water mass, and the front is a sea area where two masses of different properties meet. The gradient algorithm is a method of extracting where the sea water temperature pixel changes rapidly assuming that the slope is large, and the place with the large slope is assumed to be a front. This method is able to process large amounts of satellite data at once. Therefore, in this study, we tried to find the front lines in the sea area around the Korean Peninsula by using a gradient algorithm. The study data used gridded sea surface temperature satellite data. The resolution was 1/4°, and the monthly average data from January 1993 to December 2018 were used. There were major five fronts representatively, China Coastal Front, South Sea Coastal Front, Kuroshio Front/ Kuroshio Extension Front, Subpolar Front and the Subarctic Front. As a result of comparing the distribution of front by season, more types of front were distributed in winter and spring than in summer and autumn, and the distribution range was wider.

The Effect of Female University Students' Gender-Role Stereotype on Sexual Assertiveness: Mediating Effect of Self-Esteem (여대생의 성역할고정관념이 성적자기주장에 미치는 영향: 자아존중감의 매개효과)

  • Lee, Hye-Lim;Han, You-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.454-460
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    • 2021
  • This study focused on the sex culture and the sexual rights of women, examining the gender-role stereotype that is related to the protection of the sexual rights of female college students and identifying the influence of self- esteem. The research was conducted on gender-role stereotypes, sexual assertiveness, and self-esteem among female university students attending four-year universities in Seoul and Gyeonggi. Four hundred eighty-two copies were used for analysis. The Pearson's correlation coefficient was used to identify the correlation between the variables. Multiple regression analysis was conducted to identify the mediated effects of self-esteem in the effects of gender-role stereotypes on sexual assertiveness. The Sobel test was conducted to confirm that the effects were statistically significant. The results of this study were as follows. First, the gender-role stereotype had negative correlations with self-esteem and sexual assertiveness. Self-esteem had positive correlations with sexual assertiveness. Second, self-esteem was found to be a partial mediating factor when the gender-role stereotype had a statistically significant effect on sexual assertiveness. Therefore, a coping strategy under the influence of the gender-role stereotype is necessary for improving the sexual assertiveness skill of female students. This study also suggests the need for sex role-related education programs or counseling on self-esteem.

A Passport Recognition and face Verification Using Enhanced fuzzy ART Based RBF Network and PCA Algorithm (개선된 퍼지 ART 기반 RBF 네트워크와 PCA 알고리즘을 이용한 여권 인식 및 얼굴 인증)

  • Kim Kwang-Baek
    • Journal of Intelligence and Information Systems
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    • v.12 no.1
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    • pp.17-31
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    • 2006
  • In this paper, passport recognition and face verification methods which can automatically recognize passport codes and discriminate forgery passports to improve efficiency and systematic control of immigration management are proposed. Adjusting the slant is very important for recognition of characters and face verification since slanted passport images can bring various unwanted effects to the recognition of individual codes and faces. Therefore, after smearing the passport image, the longest extracted string of characters is selected. The angle adjustment can be conducted by using the slant of the straight and horizontal line that connects the center of thickness between left and right parts of the string. Extracting passport codes is done by Sobel operator, horizontal smearing, and 8-neighborhood contour tracking algorithm. The string of codes can be transformed into binary format by applying repeating binary method to the area of the extracted passport code strings. The string codes are restored by applying CDM mask to the binary string area and individual codes are extracted by 8-neighborhood contour tracking algerian. The proposed RBF network is applied to the middle layer of RBF network by using the fuzzy logic connection operator and proposing the enhanced fuzzy ART algorithm that dynamically controls the vigilance parameter. The face is authenticated by measuring the similarity between the feature vector of the facial image from the passport and feature vector of the facial image from the database that is constructed with PCA algorithm. After several tests using a forged passport and the passport with slanted images, the proposed method was proven to be effective in recognizing passport codes and verifying facial images.

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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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