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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,(www.Sentencedict.com) 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.