• Title/Summary/Keyword: recognition system

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A Study on Design and Implementation of Speech Recognition System Using ART2 Algorithm

  • Kim, Joeng Hoon;Kim, Dong Han;Jang, Won Il;Lee, Sang Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.2
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    • pp.149-154
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    • 2004
  • In this research, we selected the speech recognition to implement the electric wheelchair system as a method to control it by only using the speech and used DTW (Dynamic Time Warping), which is speaker-dependent and has a relatively high recognition rate among the speech recognitions. However, it has to have small memory and fast process speed performance under consideration of real-time. Thus, we introduced VQ (Vector Quantization) which is widely used as a compression algorithm of speaker-independent recognition, to secure fast recognition and small memory. However, we found that the recognition rate decreased after using VQ. To improve the recognition rate, we applied ART2 (Adaptive Reason Theory 2) algorithm as a post-process algorithm to obtain about 5% recognition rate improvement. To utilize ART2, we have to apply an error range. In case that the subtraction of the first distance from the second distance for each distance obtained to apply DTW is 20 or more, the error range is applied. Likewise, ART2 was applied and we could obtain fast process and high recognition rate. Moreover, since this system is a moving object, the system should be implemented as an embedded one. Thus, we selected TMS320C32 chip, which can process significantly many calculations relatively fast, to implement the embedded system. Considering that the memory is speech, we used 128kbyte-RAM and 64kbyte ROM to save large amount of data. In case of speech input, we used 16-bit stereo audio codec, securing relatively accurate data through high resolution capacity.

An On-line Speech and Character Combined Recognition System for Multimodal Interfaces (멀티모달 인터페이스를 위한 음성 및 문자 공용 인식시스템의 구현)

  • 석수영;김민정;김광수;정호열;정현열
    • Journal of Korea Multimedia Society
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    • v.6 no.2
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    • pp.216-223
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    • 2003
  • In this paper, we present SCCRS(Speech and Character Combined Recognition System) for speaker /writer independent. on-line multimodal interfaces. In general, it has been known that the CHMM(Continuous Hidden Markov Mode] ) is very useful method for speech recognition and on-line character recognition, respectively. In the proposed method, the same CHMM is applied to both speech and character recognition, so as to construct a combined system. For such a purpose, 115 CHMM having 3 states and 9 transitions are constructed using MLE(Maximum Likelihood Estimation) algorithm. Different features are extracted for speech and character recognition: MFCC(Mel Frequency Cepstrum Coefficient) Is used for speech in the preprocessing, while position parameter is utilized for cursive character At recognition step, the proposed SCCRS employs OPDP (One Pass Dynamic Programming), so as to be a practical combined recognition system. Experimental results show that the recognition rates for voice phoneme, voice word, cursive character grapheme, and cursive character word are 51.65%, 88.6%, 85.3%, and 85.6%, respectively, when not using any language models. It demonstrates the efficiency of the proposed system.

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Development of vision system for the recognition of character image which was included at the slab image (슬라브 영상에 포함된 문자영상의 인식을 위한 비전시스템의 개발)

  • Park, Sang-Gug
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.1
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    • pp.95-100
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    • 2007
  • In the steel & iron processing line, some characters are marked for the material management in the surface of material. This paper describes about the developed results of vision system for the recognition of material management characters, which was included in the slab image. Our vision system for the character recognition includes that CCD camera system which acquire slab image, optical transmission system which transmit captured image to the long distance, input and output system for the interface with existing system and monitoring system for the checking of recognition results. We have installed our vision system at the continuous casting line and tested. Also, we have performed inspection of durability, reliability and recognition rate. Through the testing, we have confirmed that our system have high recognition rate, 97.4%.

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Real Time Face Detection and Recognition based on Embedded System (임베디드 시스템 기반 실시간 얼굴 검출 및 인식)

  • Lee, A-Reum;Seo, Yong-Ho;Yang, Tae-Kyu
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.11 no.1
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    • pp.23-28
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    • 2012
  • In this paper, we proposed and developed a fast and efficient real time face detection and recognition which can be run on embedded system instead of high performance desktop. In the face detection process, we detect a face by finding eye part which is one of the most salient facial features after applying various image processing methods, then in the face recognition, we finally recognize the face by comparing the current face with the prepared face database using a template matching algorithm. Also we optimized the algorithm in our system to be successfully used in the embedded system, and performed the face detection and recognition experiments on the embedded board to verify the performance. The developed method can be applied to automatic door, mobile computing environment and various robot.

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The Neural-Network Approach to Recognize Defect Pattern in LED Manufacturing

  • Chen, Wen-Chin;Tsai, Chih-Hung;Hsu, Shou-Wen
    • International Journal of Quality Innovation
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    • v.7 no.3
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    • pp.58-69
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    • 2006
  • This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.

A Study on Consonant/Vowel/Unvoiced Consonant Phonetic Value Segmentation and Recognition of Korean Isolated Word Speech (한국어 고립 단어 음성의 자음/모음/유성자음 음가 분할 및 인식에 관한 연구)

  • Lee, Jun-Hwan;Lee, Sang-Beom
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.6
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    • pp.1964-1972
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    • 2000
  • For the Korean language, on acoustics, it creates a different form of phonetic value not a phoneme by its own peculiar property. Therefore, the construction of extended recognition system for understanding Korean language should be created with a study of the Korean rule-based system, before it can be used as post-processing of the Korean recognition system. In this paper, text-based Korean rule-based system featuring Korean peculiar vocal sound changing rule is constructed. and based on the text-based phonetic value result of the system constructed, a preliminary phonetic value segmentation border points with non-uniform blocks are extracted in Korean isolated word speech. Through the way of merge and recognition of the non-uniform blocks between the extracted border points, recognition possibility of Korean voice as the form of the phonetic vale has been investigated.

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A Study Of Developing Control Network based Fingerprint Recognition Door Controller (제어 네트워크 기반의 지문인식 도어 컨트롤러 개발에 관한 연구)

  • Yang, Jae-Won;Park, Jin-Seok;Yoon, Seok-Hyun;Shim, Il-Joo;Park, Gwi-Tae
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.313-316
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    • 2002
  • The need to protect a main information and control a personal access using Biometrics in the intelligent building system is extended with growing the information and communication technologies in recent years. The fingerprint recognition technology is one of the biometrics methods available that has been widely used in various applications. But the present architecture of fingerprint recognition system has many of the problems because of centralized control network architecture. But we can solve the problems with distributed control network architecture. In this paper, the fingerprint recognition system uses the merit of the LonWorks. it is able to easily modularize the system and make up for the weak points in the typical fingerprint recognition system.

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A Voice Command System for Autonomous Robots

  • Hong, Soon-Hyuk;Jeon, Jae-Wook
    • Transactions on Control, Automation and Systems Engineering
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    • v.3 no.1
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    • pp.51-57
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    • 2001
  • How to promote students interest is very important in undergraduate engineering education. One of the techniques for achieving this is select appropriate projects and to integrated them with regular courses. In this paper, a voice recognition system for autonomous robots is proposed as a project to educate students about microprocessors efficiently. The proposed system consists of a microprocessor and a voice recognition processor that can recognize a limited unmber of voice patterns. The commands of autono-mous robots are classified and are organized such that one voice recognition processor can distinguish robot commands under each directory. Thus. the proposed system can distinguish more voice commands than one voice recognition processor can. A voice com-mand systems for three autonomous robots is implemented with a microprocessor Inter 80CI196KC and a voice recognition processor HM2007. The advantages in integrating this system with regular courses are also described.

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A Deep Learning Algorithm for Fusing Action Recognition and Psychological Characteristics of Wrestlers

  • Yuan Yuan;Yuan Yuan;Jun Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.754-774
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    • 2023
  • Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

Conceptual Fuzzy Sets for Picture Reference System with Visual User Interface and Command Recognition System without Keyboard and Mouse

  • Saito, Maiji;Yamaguchi, Toru
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.138-141
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    • 2003
  • This paper proposes conceptual fuzzy sets for picture reference system with visual user interface and command recognition system without keyboard and mouse. The picture reference system consists of the associative picture database, the visual user interface and command recognition system. The associative picture database searches pictures by using conceptual fuzzy sets. To show pictures attractive, the visual user interface provides some visual effect functions. The command recognition unit, without keyboard and mouse, captures user's hand by camera and informs it to the system as a command. We implement and evaluate the picture reference system.

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