1. Image recognition function of very powerful and very useful.

2. Eyelet phenomenon is a difficult problem in Image recognition.

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

4. A new image recognition method based on high-order statistics is proposed.

5. A multiobjective image recognition algorithm based on clustering genetic algorithm ( GA ) is proposed.

6. There is a great of advantages in digital image recognition for improved recognition algorithm digital image.

7. Their Android app uses machine learning and image recognition that takes place right on your phone to alert you when you're chatting your way right into an oncoming smash-up.

8. An image recognition program trawls through the image database and recognises some faces and objects.

9. At last, a fast and automatic ultrasound image recognition algorithm for fetal genital organ is proposed and realized.

10. Image segmentation is the base of image analysis image recognition and the image understanding.

11. Good 3 D space imagination and image recognition ability fast in learning new softwares.

12. An improved image recognition and registration algorithm based on convex hull and affine invariant was presented.

13. This paper focuses on the research of image recognition based on the hidden Markov model ( HMM ) .

14. With DSP - wavelet neural network image recognition program, in the hope that useful to everybody!

15. 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.

16. Traditional measurement and recognition methods are being substituted by image measurement and image recognition gradually.

17. But there are fuzzy and gray uncertain factors among facial image recognition process.

18. With a continuous deep development of the artificial intelligence application technology, genetic algorithms and neural networks have also been applied to fire image recognition.

19. In this paper, the design and realization of the image recognition function used in Military Automatic Target-Scoring System will be dissertated in detail.

20. But there are a lot of fuzzy and gray uncertain factors among facial image recognition process.

21. This thesis presents and implements a kind of floatation controlling technology based on image recognition.

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

23. Numerical experiments show that fuzzy mathematics has better efficiency in ferrographic image recognition.

23. try its best to gather and make good sentences.

24. Three - dimensional target recognition has become an important direction in image recognition.

25. Connected domain code, it is good for the OCR image recognition!

26. The paper analyzes the disadvantage of general damping period measurement method of dial instrument, researches a automatic damping period measure method, which is based on image recognition.

27. Computer software process system for calculating solid fraction in non dendritic semi solid structure component was developed using computer image recognition technique.

28. A smart car system is introduced based on MC9S12DG128 MCU. This system uses ca sensor as its route recognition device, draws its route information through image recognition.

29. Higher pixel - precise transform of infrared rosette scan is the base of infrared quasi - image recognition.

30. The minimum distance classification has been broadly applied to the areas of character recognition and image recognition.

31. In this paper, multi value hit or miss transformation (MVHMT) is introduced into a joint transform correlator (JTC) for binary image recognition.