1. An obvious candidate is a visual recognition system.

2. Sources of linguistic information required by a recognition system will also be investigated.

3. The new speech recognition system is not absolutely foolproof, but it is a huge breakthrough.

4. Conclusions To conclude, a basic script recognition system has been demonstrated.

5. However this knowledge is not available in our recognition system.

6. The above considerations make a general purpose handwriting recognition system a virtual impossibility.

7. For an automatic text recognition system to succeed it should exploit as much of the higher level information as is computationally possible.

8. Furthermore with a text recognition system, as the lexicon gets larger the problems increase.

9. The recognition system was also extended to allow punctuation marks, digits and other non-alphabetic characters in certain situations.

10. Given the current recognition system, it is most unlikely that such examples will occur in this form.

11. The humanoid Chinese character recognition system.

12. On – Line Pattern Recognition System?

13. On – Line Pattern Analysis and Recognition System?

14. An isolated - word speech recognition system based on HMM has been established.

15. A character recognition system for tire code is implemented by the digital image processing technology.

16. This paper designs an image recognition system based on BP neural network and multi - sensor data fusion.

17. This paper presents an audiovisual continuous speech recognition system for noise environments.

18. Conclusions A probabilistic syntax processor has been developed to assist in the selection of the correct words for a text recognition system.

19. If successful, it will produce a deeper understanding of the human face recognition system.

20. This principle could be applied to the current script recognition system to make best use of all available information.

21. Other studies have shown the Oxford Advanced Learner's Dictionary to be more suited to the needs of a text recognition system.

22. Significant improvements were found in the recognition performance of the recognition system.

23. However, parameters for them for individual writers could be extracted from an initial training phase for a script recognition system.

24. Indeed,[/recognition system.html] in the later chapters we will show that this is impractical for any relatively unconstrained speech recognition system.

25. The priming experiments can tell us something more specific about the visual recognition system used for identifying words.

26. The translation to a more portable programming language is also important for compatibility with the other modules of the recognition system.

27. E-nose system is a kind of instrument which is composed of selective chemical sensors array and appropriate pattern recognition system to detect and classify simple or complex odorant.

28. Stellar spectra classification is an indispensable part of any workable automated recognition system of celestial bodies.

29. Based on Google's existing software for automatically converting websites and documents into a different language, it would use a voice recognition system to translate real-time speech.

30. Based on the volume holographic storage, a novel and easy method is proposed to realize rotation and shift invariance in pattern recognition system.

31. In our discussion, classification is a significant component of the pattern recognition system, but unsupervised learning may also play a role there.

32. A speaker dependent, isolated word and small vocabulary embedded speech recognition system is designed and implemented.

33. The paper introduces system configuration, recognition principle, detection procedure, key technology and solutions of LED shape recognition system established on the SGI workstation.

34. A speech recognition system is designed to illustrate the twin rotor helicopter speech control function.

35. Face Recognition System code integrity, and can be used directly.

36. This paper briefly introduces the flying spot scanner of the "789" model of Optical Character Recognition system developed in Futan University.

37. In order to make the speech recognition system maintain the good performance under these noise conditions, we must use various methods to enhance the robustness of system.

38. In a mandarin tone recognition system, the parameter is usually pitch contour. But the tone can also be partly characterized by pitch difference, energy and energy difference.

39. In the SVM-based speaker recognition system study, it is important to obtain a ideal recognition rate.

40. The main goal of this subject is realization of the automatic face recognition system.

41. A novel method to account for dynamic speaker characteristic properties in a speech recognition system is presented.

42. Voice recognition system using neural network complete source code, has been tested.

43. This segmentation algorithm that has promising results (the segmentation correct rate reach to 86.3%) and is then incorporated into a complete bank check character recognition system.

44. Feature extraction of targets radiated - noise is the key technique of passive sonar target recognition system.

45. A. Net speech recognition system complete source code can be directly used by the test.

46. It is essential to realize the automatic face recognition system.

47. Fifthly, the design and realization of doorplate recognition system based on DM642 is presented, including program migration from PC to DSP, program optimization on DM642 platform.

48. This paper discusses pattern recognition system based on artificial neural networks, which uses mathematics software MATLAB.

49. The location of the vehicle license plate is the first step in the automotive vehicle license plate recognition system and the accuracy of locating plays an important role in this system.

50. Prompts that expect a response can either provide a list of valid words that are accepted and recognized by the voice recognition system(), or you can ask for input through the telephone keypad.

51. In that case, one could argue that this glitch in our patter - recognition system is helpful.

52. Fingerprint classification(FC) which has been the hot point and hard point of researchers in national or aboard is an important composing of Automatic Fingerprint Recognition System(AFRS).

53. Through experiment investigation, this paper proposed future work for improving pattern recognition system based on VHM.

54. Instead, you must specify the words and phrases that you expect to receive so that the voice recognition system is more accurate.

54. try its best to gather and build good sentences.

55. The infrared pattern recognition system consists of image preprocessing, feature extraction and pattern classification.

56. Objective To evaluate the accuracy of computerized automatic recognition system of cephalometry.

57. The visual features can improve the performance of the speech recognition system under noisy environment.

58. Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge, classify and standardize files of the cell feature parameters automatically.

59. According to this algorithm, a numerical recognition system based on BP neural network was designed. This system could be put into the application of numerical recognition such as bill system.

60. A iris recognition system is based on four parts: iris image sampling, iris image preprocessing, feature extraction, iris image matching and recognition.

61. The pattern recognition system has a universal value of engineering application.

62. This paper thinks agricultural manipulator vision recognition system of greenhouse production management system as an exploration.

63. Based on eight shape code scheme and code - extraction algorithm, humanoid Chinese character recognition system is presented.

64. Automatic License Plate Recognition System is a specific computer vision system based on the specific goals of the vehicle license.

65. Finally, we design a recognition system through straight linear shape based on the result of shape analysis and the practical requirement on application of remote sensing images.

66. The paper presents a novel two the-layered pattern recognition system on the basis of both WISARD and SDM.

67. The Intec-APC electronic reciprocator is the smartest coater you can employ. Coupled with our parts recognition system it can tell when to spray and how to spray.

68. Objective To explore how to develop a micro - image recognition system for helminth eggs.

69. Image processing, feature abstraction and classification of plant leaf shape with computer recognition system were discussed in this paper.

70. By adding pattern recognition system to IC package equipment, a manual wire-bonder to automatic one was successfully ameliorated.

71. A new approach on the design of animal recognition system ( ARS ) is presented in this paper.

72. The whole recognition system is formed with the tool for defining template, the module of automatic OCR and manual input, and the central controlling tool, etc.

73. The freehand sketch recognition system is developed in the above method and confirms our algorithms to be serviceable and extensible.

74. In this thesis, we propose a new Multi-Feature analysis method for face detection and recognition. An extensible real time face detection and recognition system with high performance is developed.

75. Our pattern recognition system is set into motion every time our senses perceive something.

76. Large vocabulary continuous speech recognition system consists of several components, and recognition errors are caused by different factors.

77. Handwritten Numeral Recognition System is used to obtain numeral information.

78. A complete automatic face recognition system consists of three main parts: detecting the human face from the image, extracting the face feature and recognizing face.

79. This paper makes a basic and preparatory study for exploring practical sound recognition system further by testing and investigating actual sound recognition system.

80. BP neural network arithmetic is used in the handwritten numeral recognition system. In order to reflect the whole character,() we use many input modes to train the networks.

81. The module that is designed using the algorithm acts as the prefixal module engineering drawings intelligence input and recognition system.

82. The paper designs a recognition system on engine work wave signal by the net technology. The system has been illustrated by how to diagnose fuel injector voltage trouble of electronic control engine.

83. In order the discrimination and robustness of speech recognition system, this thesis does some deeper research.

84. The structure of fuzzy pattern recognition system, its design and implementation are emphasized with an example.

84. is a sentence dictionary, on which you can find excellent sentences for a large number of words.

85. Face recognition source code. Face Recognition System for the primary.

86. The nature of automation target recognition is pattern recognition, and feature extraction is an important part of pattern recognition system, which is a powerful guarantee of correct classification.

87. The one-dimension bar code recognition system is a background program which supports the recognition system on mobile telephone.

88. This paper designs a wearable posture recognition system based on kernel - based Support Vector Machines ( SVM ).

89. The vehicle license plate detection is the important part of license plate recognition system.

90. To the sensor , Compound Cepreum Coefficients ( CD - CC ) is proposed Linear Predication Cepreum Coefficients ( LPCC ) in the speech recognition system.

91. Electronic tongue is a multi-sensors system which can be used to analyse liquids . It is composed of sensors array, signal process and pattern recognition system.

92. The design principle, system architecture and key functions of ZD AFRS, a robust and hybrid machining feature recognition system, is presented.

93. It is the first step for any fully automatic face recognition system and has lots of applications.

94. Experiments show that our Touchless Fingerprint Recognition System can reach recognition rate from 71.43% to 92.86%.

95. I rang 411, the American directory enquiries which now uses a voice recognition system.

96. In developing handprinted Chinese characters recognition system by the structural approach. the stroke extraction is all important problem.

97. The paper presents an intelligent recognition system of multicharacter fusion, which is acoustic and face based on artificial neural network.

98. Adaptive pattern recognition system (WISARD) has found extensive applications in various areas because of its massive parallel distributed processing ability, versatility and self adaptability.

99. Vehicle license plate locating is of vital importance in license plate recognition system. This paper proposes a new license plate detection and character segmentation method.

100. And the syllable bigram language model to the recognition system will obtain the rate improvement.

101. The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.

102. A knowledge - based recognition system of unconstrained handwritten numerals is proposed.

103. A noise-free PZT sensor is made as speech signal input equipment to an auto speech recognition system.

104. As a special computer vision system, the Vehicle License Plate Recognition System can capture a vehicle automatically and identify the numbers in the image.

105. Based on the data from Vehicle License Plate Recognition system and microwave detector.

106. In developing the multi-fonts Chinese character recognition system by structural approach, the stroke extraction is an important problem.

107. Aiming at the present problem of radar radiating source recognition system a new method of radiating resource recognition connecting neural network technology is proposed.

108. A voiceprint recognition system without any reference to text, language and sex is described.

109. This paper studies the design of pattern recognition system based multiple classifiers combination.

110. Recently, as the fast development of information technology, the pattern recognition system is needed in many research areas.

111. In this way the interactive speech recognition system may react to noise conditions that are inappropriate for generating reliable speech recognition.

112. An optical image recognition system based on the volume holographic storage technology is constructed. It is applied to an "electronic guard" system based on the real time human face recognition.

113. This article introduces briefly the development of a handwritten character forms recognition system, and its system structure and relative technique.

114. In this paper, we discussed some key application problems of shape recognition system based on associative memory neural network.

114.

115. It has a voice recognition system for voice dials and opening applications.

116. This paper discusses the main problems of designing an on-line handwritten mathematical formula recognition system.

117. Recall that the voice recognition system must know the words (specifically the pronunciation of words) for them to be recognized or spoken.

118. The invention provides a computer-assisted recognition device and a corresponding computer-assisted recognition system.

119. Finally, a method based on clustering is proposed to realize the classifier selection procedure in the pattern recognition system based on multiple classifier selection.

120. The formant and corresponding bandwidth parameters result in a correct recognition rate of 98% in a small vocabulary mandarin speech recognition system.

121. Fourthly, the design and realization of doorplate recognition system based on PC is presented, including module design of algorithms, realization of algorithms and testing.

122. In the third part of this thesis, the algorithm of our automatic face recognition system is presented in details.

123. A fast speech recognition system for small vocabulary is presented.

124. This article introduces a printed-Chinese recognition system which contains the formula recognition function.

125. Feature extraction is the most important step in the pattern recognition system of partial discharge.

126. Image matching machine is an important part of the object recognition system.