원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.10
2015.10
pp.29-38
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In modern life, we see more techniques of biometric features recognition have been used to our surrounding life, especially the applications in telephones and laptops. These biometric recognition techniques contain face recognition, fingerprint recognition and iris recognition. Our work focuses on the face recognition problem and uses a deep learning method, convolutional neural network, to solve it. And we use the Sobel operator to improve our result accuracy. LFW dataset is used for training and testing which gets a considerable result. And we also test our system on other face dataset, which also has a high accuracy on the recognition.
목차
Abstract
1. Introduction
2. Related Work
3. System Architecture
3.1 Image Preprocessing
3.2 Face Representation
3.3 Face Classification
3.4 Improvement
4. Experiment
4.1 Face Datasets
4.2 Training on the LFW
4.3. Results on the LFW
5. Conclusion
References
1. Introduction
2. Related Work
3. System Architecture
3.1 Image Preprocessing
3.2 Face Representation
3.3 Face Classification
3.4 Improvement
4. Experiment
4.1 Face Datasets
4.2 Training on the LFW
4.3. Results on the LFW
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보