• Title, Summary, Keyword: recognition

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A Study on the Development of Embedded Serial Multi-modal Biometrics Recognition System (임베디드 직렬 다중 생체 인식 시스템 개발에 관한 연구)

  • Kim, Joeng-Hoon;Kwon, Soon-Ryang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.1
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    • pp.49-54
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    • 2006
  • The recent fingerprint recognition system has unstable factors, such as copy of fingerprint patterns and hacking of fingerprint feature point, which mali cause significant system error. Thus, in this research, we used the fingerprint as the main recognition device and then implemented the multi-biometric recognition system in serial using the speech recognition which has been widely used recently. As a multi-biometric recognition system, once the speech is successfully recognized, the fingerprint recognition process is run. In addition, speaker-dependent DTW(Dynamic Time Warping) algorithm is used among existing speech recognition algorithms (VQ, DTW, HMM, NN) for effective real-time process while KSOM (Kohonen Self-Organizing feature Map) algorithm, which is the artificial intelligence method, is applied for the fingerprint recognition system because of its calculation amount. The experiment of multi-biometric recognition system implemented in this research showed 2 to $7\%$ lower FRR (False Rejection Ratio) than single recognition systems using each fingerprints or voice, but zero FAR (False Acceptance Ratio), which is the most important factor in the recognition system. Moreover, there is almost no difference in the recognition time(average 1.5 seconds) comparing with other existing single biometric recognition systems; therefore, it is proved that the multi-biometric recognition system implemented is more efficient security system than single recognition systems based on various experiments.

Analysis of Preference for Encryption Algorithm Based on Decision Methodology (의사 결정 방법론을 기반한 암호화 알고리즘 선호도 분석)

  • Jin, Chan-Yong;Shin, Seong-Yoon;Nam, Soo-Tai
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.167-168
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    • 2019
  • Lately, variety of algorithms using encryption technology has been adopted as methods of unlocking smartphone. It is advancing toward the direction to solve through human biometrics technology which has already succeeded in commercialization. These include finger print recognition, face recognition, and iris recognition. In this study, we selected biometrics recognition technology and pattern recognition and password input methods which are already commercialized as evaluation items. The evaluation items are five algorithms including finger print recognition, face recognition iris recognition, pattern recognition and password input method. Based on these algorithms, analytic hierarchy process is used to analyze the preference of smartphone users. Also, the theoretical implications are presented based on the analysis results.

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Isolated-Word Recognition Using Neural Network and Hidden Markov Model (Neural-HMM을 이용한 고립단어 인식)

  • 김연수;김창석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.11
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    • pp.1199-1205
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    • 1992
  • In this paper, a Korean word recognition method which usese Neural Network and Hidden Markov Models(HMM) is proposed to improve a recognition rate with a small amount of learning data. The method reduces the fluctuation due to personal differences which is a problem to a HMM recognition system. In this method, effective recognizer is designed by the complement of each recognition result of the Hidden Markov Models(HMM) and Neural Network. In order to evaluate this model, word recognition experiment is carried out for 28 cities which is DDD area names uttered by two male and a female in twenties. As a result of testing HMM with 8 state, codeword is 64, the recognition rate 91[%], as a result of testing Neural network(NN) with 64 codeword the recognition rate is 89[%]. Finally, as a result of testing NN-HMM with 64 codeword which the best condition in former tests, the recognition rate is 95[%].

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Korean Speech Recognition Based on Syllable (음절을 기반으로한 한국어 음성인식)

  • Lee, Young-Ho;Jeong, Hong
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.1
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    • pp.11-22
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    • 1994
  • For the conventional systme based on word, it is very difficult to enlarge the number of vocabulary. To cope with this problem, we must use more fundamental units of speech. For example, syllables and phonemes are such units, Korean speech consists of initial consonants, middle vowels and final consonants and has characteristic that we can obtain syllables from speech easily. In this paper, we show a speech recognition system with the advantage of the syllable characteristics peculiar to the Korean speech. The algorithm of recognition system is the Time Delay Neural Network. To recognize many recognition units, system consists of initial consonants, middle vowels, and final consonants recognition neural network. At first, our system recognizes initial consonants, middle vowels and final consonants. Then using this results, system recognizes isolated words. Through experiments, we got 85.12% recognition rate for 2735 data of initial consonants, 86.95% recognition rate for 3110 data of middle vowels, and 90.58% recognition rate for 1615 data of final consonants. And we got 71.2% recognition rate for 250 data of isolated words.

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Estimation of Speeker Recognition Parameter using Lyapunov Dimension (Lyapunov 차원을 이용한 화자식별 파라미터 추정)

  • Yoo, Byong-Wook;Kim, Chang-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.4
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    • pp.42-48
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    • 1997
  • This paper has apparaised ability of speaker recognition and speech recognition using correlation dimension and Lyapunov dimension. In this method, speech was regarded the cahos that the random signal is appeared in determinisitic raising system. we deduced exact correlation dimension and Lyapunov dimension with searching important orbit from AR model power spectrum when reconstruct strange attractor using Taken's embedding theory. We considered a usefulness of speech recognition and speaker recognition using correlation dimension and Lyapunov dimension that characterized reconstruction attractor. As a result of consideration, which were of use more the speaker recognition than speech recognition, and in case of speaker recognition using Lyapunov dimension were much recognition rate more than speaker recognitions using correlation dimension.

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The Influence of Wife's Home Management Behavior Pattern and Husband's Perception about It on Family Life Satisfaction (주부의 가정관리 행동유형과 남편의 인지가 가정생활만족에 미치는 영향)

  • 김경숙
    • Journal of the Korean Home Economics Association
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    • v.36 no.1
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    • pp.99-116
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    • 1998
  • The purposes of this study were to find the influence of wife's home management behavior pattern and husband's perception about it on family life satisfaction, and to find out variables which influence them. For theses reviewing literature and empirical research were conducted. The major results were as follows; 1) The couple's psychological variables (ie, degree of life level recognition, of resourcefulness recognition and of communication) were relatively high. The wife's home management behavior pattern was relatively morphogenesis and the husband's perception about wive's it was relatively morphogenesis. And the couple's degree of family life satisfaction were relatively high. 2) Influential variables on wife's home management behavior pattern were level of education, degree of resourcefulness recognition and of communication. And influential variables on husband's perception about vive's it was degree of communication. 3) Influential variables on wive's the degree of family life satisfaction were degree of life level recognition, of resourcefulness recognition and of communication. And influential variables on husband's it were level of education, job, degree of life level recognition, of resourcefulness recognition and of communication. 4) The wife's home management behavior pattern and husband's perception about wive's it were to predict the couple's degree of family life satisfaction. 5) In cause-effect pathway mode. level of education·job·degree of life level recognition·of resourcefulness recognition and of communication showed direct and indirect effect on family life satisfaction through wife's home management behavior pattern or husband's perception about wive's it.

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Multi-view Human Recognition based on Face and Gait Features Detection

  • Nguyen, Anh Viet;Yu, He Xiao;Shin, Jae-Ho;Park, Sang-Yun;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1676-1687
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    • 2008
  • In this paper, we proposed a new multi-view human recognition method based on face and gait features detection algorithm. For getting the position of moving object, we used the different of two consecutive frames. And then, base on the extracted object, the first important characteristic, walking direction, will be determined by using the contour of head and shoulder region. If this individual appears in camera with frontal direction, we will use the face features for recognition. The face detection technique is based on the combination of skin color and Haar-like feature whereas eigen-images and PCA are used in the recognition stage. In the other case, if the walking direction is frontal view, gait features will be used. To evaluate the effect of this proposed and compare with another method, we also present some simulation results which are performed in indoor and outdoor environment. Experimental result shows that the proposed algorithm has better recognition efficiency than the conventional sing]e view recognition method.

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An Implementation of the Web Service for Authorization and Speech Recognition in the Mobile Environment (모바일 환경에서 인증과 음성인식을 위한 웹 서비스 구현)

  • Oh Jee-Young;Kim Yoon-Joong;Ko You-Jung
    • Journal of Korea Multimedia Society
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    • v.8 no.2
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    • pp.225-232
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    • 2005
  • A PDA has limitation of storage space and inconvenience of Pen-based equipment to input. To solve these problems, this paper implemented that previous Speech Recognition provides using XML(extensile Markup Language) Web Service and PDA Client is possible to use speech command by request Speech Recognition Web Service. This system consists of Mobile Client and Speech Recognition Web Service Provider. The Mobile Client transmits user information and speech data to the Speech Recognition Web Service Provider using DIME(Direct Internet Message Encapsulation). The Speech Recognition Web Service Provider returns recognition results and user name only to an authorized Mobile Client. So We are able to use speech service without installing Speech Recognition or Speech DB in PDA.

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Oral health concern and oral healthcare recognition of some soldiers (일부 군인의 구강건강관심과 구강건강관리 인식도 조사)

  • Han, Soo-Yeon;Song, Kwui-Sook;Ryu, Da-Young
    • Journal of Korean society of Dental Hygiene
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    • v.12 no.5
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    • pp.1007-1015
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    • 2012
  • Objectives : The purpose of this study was to survey Korean solders' oral healthcare recognition and perceived oral health concern. Methods : The data was collected from a questionnaire given 157 soldiers in Chungcheongnamdo. The data was analyzed into t-test, one-way ANOVA and Pearson's correlation analysis. Results : 25.5% replied that they were concerned about oral health. Soldiers who have received oral healthcare education exhibited higher recognition on the prevention of dental caries and periodontal disease. Moreover, those who have used oral hygiene devices also showed higher recognition on the prevention of dental caries and periodontal disease. The recognition of preventive effects on dental caries, in particular, showed a statistically significant difference (p<0.05). In regard to the relationship between oral health concern and recognition of oral healthcare, those who were more concerned about oral health were higher recognition of periodontal disease prevention(r=0.254, p<0.01). Conclusions : To improve concern and recognition of oral health for the members, the soldiers needs to develop oral health education and policy.

Design of RBFNNs Pattern Classifier Realized with the Aid of PSO and Multiple Point Signature for 3D Face Recognition (3차원 얼굴 인식을 위한 PSO와 다중 포인트 특징 추출을 이용한 RBFNNs 패턴분류기 설계)

  • Oh, Sung-Kwun;Oh, Seung-Hun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.6
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    • pp.797-803
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    • 2014
  • In this paper, 3D face recognition system is designed by using polynomial based on RBFNNs. In case of 2D face recognition, the recognition performance reduced by the external environmental factors such as illumination and facial pose. In order to compensate for these shortcomings of 2D face recognition, 3D face recognition. In the preprocessing part, according to the change of each position angle the obtained 3D face image shapes are changed into front image shapes through pose compensation. the depth data of face image shape by using Multiple Point Signature is extracted. Overall face depth information is obtained by using two or more reference points. The direct use of the extracted data an high-dimensional data leads to the deterioration of learning speed as well as recognition performance. We exploit principle component analysis(PCA) algorithm to conduct the dimension reduction of high-dimensional data. Parameter optimization is carried out with the aid of PSO for effective training and recognition. The proposed pattern classifier is experimented with and evaluated by using dataset obtained in IC & CI Lab.