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LDA presentation
This document discusses linear discriminant analysis (LDA) as a face recognition technique. It begins with an introduction to face recognition and its applications, noting that it is a biometric authentication method that is more user-friendly than alternatives like fingerprints. It then outlines some of the difficulties in face recognition, such as variations in facial expressions, lighting, distance, and size. The document concludes that while the current system achieved a certain recognition rate, improving the training data with more images could increase the recognition rate further.
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LDA presentation
- 1.
- 2. INDEX Introduction toFace Recognition Technique Applications Demonstration of Project Work Conclusion
- 3. Introduction to FaceRecognition Technique Research Background Face recognition Is a technology for Identifying people based on Effective ID Information extracted by computers from facial pictures. With the development of Technology , development of digitalized Information requires secure authentication more than ever. Compare with biometric authentication method like finger prints, iris, palm print, face recognition system is more friendly and convenient and easier for Users to accept. This makes Face recognition technology a research Hotspot.
- 4. Difficulty in Facerecognition Speciality of Human Face -> Rotation -> Facial Expression Influence from Environment -> Distance -> Size -> Illumination Limitation On Computers -> Process data in a short time
- 5. Applications : Bankruptcyprediction Face recognition Marketing Biomedical studies Data Mining
- 6. Steps involved inmatching the faces from Database & LDA technique:
- 7. Result: - Out of40 images 37 were recognized correctly.
- 8. How Artificial Intelligenceused in storing & comparing human faces :
- 9. Conclusion: In thisSystem, Algorithm reached to a certain level of recognition rate A better recognition rate can be achieved by getting more training images to form EigenSpace.
- 10.