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1. Clustering applications would include things like character recognition, sonar / radar signal classification, and robotic control.

2. And character recognition is relatively slow and prone to errors even on powerful computers.

3. Products are available that do character recognition and handwriting analysis, including analysis of complex characters.

4. Parsytec plans to release an entire family of character recognition systems with prices starting at ￡15,000.

5. Further details of printed character recognition systems are not included here in order to concentrate on cursive handwriting systems.

6. The humanoid Chinese character recognition system.

7. In an OCR (Optical Character Recognition) system, character normalization is a crucial step to eliminate variations in character size or position.

8. A novel printed character recognition method based on Degraded Hidden Markov Model is proposed in this dissertation, which can be applied to engineering.

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

10. One important Hangul character recognition method is thus the approach of separating each grapheme of character and identifying the separated graphemes independently.

11. In character recognition, the inadvertent absence of ink within a character outline.

12. In this paper, a new algorithm of handwritten character recognition is proposed to incr.

13. Multilingual Multimedia Technology and CAI Technology ; Multilingual Character Recognition Systems.

14. In the scan area, optical character recognition ( OCR ) is the most popular businesses a technology.

15. Character recognition module The module consists mainly of handwritten numeral recognition.

16. This could include word processing, a database, case management and optical character recognition.

17. One example is the method of recognition using template matching which is applied in both speech recognition and optical character recognition.

18. All permutations of transitional probabilities arising out of the character recognition are calculated to give an associated probability for a given string.

19. The Ni1000 can be combined with a personal computer for fast character recognition, Intel says.

20. This can be on-line or off-line recognition of hand-printed characters, or of machine-printed characters using optical character recognition.

21. Typically context is used only in the form of spelling correction information to compensate for errors in character recognition.

22. To treat the random of a character's direction, the method of character recognition based on annual ring is given.

23. With the progress of computer science, image processing and character recognition, it has been possible for us using computer to identify the information in ID card image automatically.

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

25. It is proved that this algorithm can be used to recognize varisized characters with high tolerance to distortion and blur(sentencedict.com), and its character recognition accuracy is above 94%.

26. 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.

27. It is the key to solve the problems such as face identification and handwritten character recognition.

28. Practice in handwritten numeral recognition and off line handwritten Chinese character recognition strongly supports the ideas and the methods.

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

30. It consists of image display, image conversion, image processing, character recognition, and help to a few other components.