Novel approaches to determine age and gender from dental x-ray images by using multiplayer perceptron neural networks and image processing techniques

2019 ◽  
Vol 120 ◽  
pp. 127-138 ◽  
Author(s):  
Emre Avuçlu ◽  
Fatih Başçiftçi
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Age And Gender ◽  
X Ray ◽  
Image Processing Techniques ◽  
Novel Approaches ◽  
And Gender ◽  
Processing Techniques

Image processing techniques used for dental x-ray image analysis

2008 ◽  
Author(s):  
Stefan Oprea ◽  
Costin Marinescu ◽  
Ioan Lita ◽  
Mariana Jurianu ◽  
Daniel Alexandru Visan ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

Improved image processing techniques for multiple-angle x-ray bone densitometry

1995 ◽  
Author(s):  
Lawrence M. Jordan ◽  
Li Gao ◽  
Peter G. Davis ◽  
Frank A. DiBianca ◽  
Jeno I. Sebes ◽  
...  
Keyword(s):  
Image Processing ◽  
Bone Densitometry ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

The Application of Image Recognition Based on BP Neural Networks in Automatic Steel Rolling

2013 ◽  
Vol 764 ◽  
pp. 161-164
Author(s):  
Wei Jiang
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Image Recognition ◽  
Character Recognition ◽  
Video Image ◽  
Bp Neural Networks ◽  
Steel Rolling ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Frame Grabber

A BP neural networks is presented for billet character recognition. Firstly, by a series of image processing techniques, the character’feature in the billet character region of the video image gathered by frame grabber is abstracted. Secondly, the BP neural networks algorithm is employed for character recognition. Application results show that the image recognition based BP neural networks can performs well in billet character recognition, and the method presented is speedy, efficient and of high value in practice.

scholarly journals Fingerprints detection using neural networks suitable to physical changes of fingerprint

2017 ◽  
Vol 22 (2) ◽  
pp. 35-50
Author(s):  
Mabel Rocio Diaz Pineda ◽  
Maria Alejandra Dueñas ◽  
Karen Dayanna Acevedo
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Gabor Filter ◽  
Image Processing Techniques ◽  
Working Paper ◽  
Minutiae Extraction ◽  
Processing Techniques ◽  
Physical Changes ◽  
Segment Orientation

This working paper shows the results of finished research, using image processing techniques to improve the fingerprint obtained from a database, where the image is normalized and segmented to get only the section of the image with the fingerprint. Then, the Gabor filter is applied, and it corrects defects in ridges and valleys, allowing continuity. That way, if the fingerprint has a physical defect, the filter can correct it as long as the segment orientation to be correct. Once improved, the fingerprint, it is binarized and thinned for minutiae extraction. The false minutiae are filtered and eliminated in order to ensure the operation of the algorithm. Finally, it is necessary training with the minutiae of all fingerprints in the database, to individually determine which user belongs the fingerprint entered. The system has a reliability of 81% of the process, with the pre-processing part being crucial to guarantee the correct extraction of the characteristics of fingerprints.

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