1 Fingerprint matchingincludes feature extraction, feature code and minutiae matching.

2 Facial feature extraction is import part in face recognition.

3 Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.

4 A self-adaptive feature extraction method based on power spectral centroid is proposed.

5 Thus, a feature extraction method based on SVM was proposed to select the LSI features fit for classification.

6 It is shown that the feature extraction works well for process data with regular time interval.

7 The rule-based language analysis is employed in feature extraction of lexical and syntax, which improves the accuracy of similarity calculation.

8 An auditory-based feature extraction algorithm was developed to improve the recognition performance of language identification algorithms using human auditory characteristics.

9 To proposes a new feature extraction method and reasonable feature invariants.

10 Realizes high, dimension data feature extraction algorithm by using debasing dimension of data.

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

12 Fingerprint identification module includes the preprocessing of fingerprint, feature extraction, the classing of fingerprint as well as matching, the establishment of fingerprint storehouse.

13 A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD(singular value decomposition) was proposed.

14 Thus, image segmentation algorithm and image visual feature extraction method are briefly introduced at the beginning of this paper.

15 And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization(NMF) is presented.

16 Right View Selection menu access mode features, feature extraction, the choice of cluster analysis algorithms.

17 We usr software to realize the feature extraction unit, training unit and recognition unit . Database technology is used for managing data.

18 It is introduced in the feature extraction of the vibration signal induced from reciprocating machinery valve, and the fault characteristic signal can be extracted effectively.

19 Experimental results show that the feature extraction method presented in this paper outperforms the traditional methods, such as DCT and DWT.

20 Feature extraction method and classification selection are crucial to ship target identification.

21 A multi-level document clustering algorithm was proposed based on association rules, It constructed document feature vector of topic and keyword by using a new method of document feature extraction.

22 It does not have to design the complexity classifier in the traditional recognition algorithm after feature extraction, and simplifies the recognition process.

23 Line patterns in palmprint are very complicated because of the low contrast and the heavy noise caused by fine wrinkles and ridges, so it is a challenging task to complete the feature extraction.

24 The segmentations of gaIt'silhouettes have very important influence on feature extraction subject classification.

25 Some key technologic problems in computer lip-reading system, such as lip detection, feature extraction and lip-reading recognition were researched in this paper.

26 Non-negative matrix factorization has non-negative and local characteristics, and it is a new feature extraction method.

27 Absrtact: Non- negative matrix factorization(NMF)is a method of parts- based feature extraction, it has been already applied to face recognition successfully.

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

29 The model can perform fast matching by the support of suffix tree, obtain the vector presentation of text and avoid the complex computation such as word segmentation or feature extraction of the text.

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

31 A new texture feature extraction method using Local Walsh Transform (LWT) is presented. The definition of LWT is given. The statistical properties of LWT coefficients are analyzed.

32 A new wood color feature extraction method combining image block theory was given on the basis of the previous studies.

33 It proposes new boundary feature extraction way of handwritten numeral recognition, which is simple and effective.

34 According to features of edge gradient maps of face images, a new eye feature extraction algorithm based on gradient vector flow field was proposed.

35 The special pattern for feature extraction and the re-alignment idea furthest decreased the effect of the cameras- performances on the alignment precision.

36 A nature scene image color-texture feature extraction method based on human visual system(HVS) was proposed.

37 A method for feature extraction of high resolution remote sensing image is presented which is based on the statistical model of the marginal distribution of wavelet coefficients.

38 By simulation it shows that the obtained I and Q phase reference video signals, by means of the preprocessing, lay a solid foundation of feature extraction.

39 Secondly, based on a hierarchical sparse coding process, we present a hierarchical feature extraction method for generic object recognition.

40 Feature extraction is the premise of metric matrix calculation with regard to the metric rectification method on sea image.

41 A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.

42 A feature extraction algorithm was used to extract the features in mold cavity, and the manufacturing strategy was formulated based on these features.

43 A new feature extraction method, named S-E coordinate, is proposed from the computer optical input discrete pattern of handprinted Chinese characters.

44 We propose a multistage SAR target recognition process based on target detection, target segmentation, target aspect estimation and invariant feature extraction.

45 A new morphological feature named erosion degenerate factor is used to indicate the lobulated state of cell and achieves feature extraction by combining with traditional characteristics.

46 To solve this problem, a new method of direct gray-scale feature extraction based on the circular projection algorithm and the vector sum for testing the quality of the pressed character is presented.

47 With the algorithms of video feature extraction, similarity measure and fast search based on clustering index table, a video similarity search system was implemented.

48 On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.

49 Combining with the information of nostril, it presented a lip feature extraction method lip feature points.

50 As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.

51 An effective algorithm of feature extraction for spotlight synthetic aperture radar images is presented.

52 Method for invariant feature extraction based on shape boundaries are proposed.

53 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.

54 In this paper, we present a method to realize feature extraction on low contrast magnetic domain images of magneto-optical recording films.

55 The study of signature energy feature extraction method is emphasized.

56 For lack of actual damage samples in the structure damage diagnosis, a method called support vector machines (SVM) based on the feature extraction by wavelet packet decomposition is proposed.

57 Feature extraction is the key part of handwritten chinese character recognition.

58 Generally, face classification system has the following three steps: face detection, feature extraction, and classification.

59 Applied BP neural network to recognize numbers, and adopted a method of wipe off miscellaneous points to take out noise, and used a method of per pix feature extraction to extract feature vector.

60 Document classification feature extraction is the precondition for classifying WEB texts. The results of feature extraction will directly influence the accuracy and efficiency of text classification.

61 A method of textural feature extraction from mammogram based on GLCM is proposed in this paper.

62 This paper proposed a new feature extraction method, that face feature is extracted based on projections on the 2DPCA and B2DLDA.

63 A feature extraction method of singular event based on multi-scale wavelet is presented. Time series is divided into event subsequences with independent trend.

64 An improved feature extraction method based on wavelet packet energy moment is presented.

65 In this paper, we analysis inherent characteristics of short-text, propose a new feature extraction method based on repeats, and apply it to short-text clustering.

66 It also plays an important role in image restoration, feature extraction, as well as object recognition.

67 The proposed feature extraction method was tested by the simulated signals and the results showed that the method was effective.

68 Definition of facial feature extraction affects direct rate of face recognition.

69 The speckle noise is the inherent noise pattern evoked by the mechanism of ultrasound imaging. It brings great difficulties to the feature extraction, recognition and analysis.

70 Time - frequency analysis is an efficient method in feature extraction for transformer partial discharge.

71 Target feature extraction plays an important role in the depth bomb fuze system, because it is a key point that ensures the fuze system of successfully recognizing target.

72 Presented issues include 2D graph representation, visual pattern recognition mathematical basis, geometry feature extraction, computational geometry application in PR, and so on.

73 It possesses plenty of advantages in signal detection, harmonic retrieval and feature extraction.

74 Independent Component Analysis ( ICA ) was presented as an efficient face feature extraction method.

75 Feature extraction is the difficulty of handwritten chinese character recognition.

76 Feature extraction was the basis of raisins grade detecting. Based on studying the way of polar moment of inertia, a new method of major and minor axis detecting by DDA was provided.

77 A new image feature extraction method based on changing image matrices and image principal component analysis(CIMPCA) is proposed in this paper.

78 These two techniques are effectively combined in the paper(), and a new palmprint feature extraction approach is proposed.

79 The segmentations of gait silhouettes have very important influence on feature extraction and subject classification.

80 This system mainly includes four aspects: image segmentation, feature extraction, image matching, and relevance feedback.

81 The low-performance cameras, high efficient feature extraction method and sophisticated solution for homography make the cost of expanding the system low.

82 Recently, BCI developed rapidly, and its researches mostly concentrated on feature extraction and translation algorithm.

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

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

84 After class definition, feature extraction, data annotation, model training and experimenting, the output proves that acceptable performance of answer extraction could be reached.

85 A novel iris texture feature extraction algorithm based on pixel's directional relativity and local walsh transform was presented according to analyze iris texture units.