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논문검색

Face Recognition based on Deep Neural Network

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

저자정보

  • Li Xinhua Shandong Women's University
  • Yu Qian Shandong Women's University

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