10. Face Recognition
About1. Introduction2. Overview3. GUI4. Image Signatures5. Unsupervised Filters6. Results & Analysis7. BioFilters8. NeuralFilters9. Duplicated Documents10. Face Recognition11. Auto Part Recognition12. Dynamic Library13. NeuralNet Filter14. Segment Variation15. TV Advertisements16. Counting & Tracking17. Image PreProcessing18. Image Processing19. Batch Job20. Parameters21. Input Option22. Application Developers23. Reference Manual24. Support Services25. Readme.txt

10.1 Data 
10.2 Parameters 
10.3 Signature 
10.4 Training 
10.5 Matching 
10.6 Analysis 
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10.   Face Recognition

Click menu item �Example/Special Example/Face recognition�; then click �Batch/Run�, and this chapter is done. Now, we will walk through the Face Recognition example.

This chapter attempts to solve a particular problem: to scan a document (passport, ID card, �) with a Face Photo ID and match this face image against an existing database. Assume you have millions of Photo ID�s already converted into images, and you want to make a 1:N Matching with the newly captured image.  

Chapter contents include:

10.1   Data

10.2   Parameters   

10.3   Signature  

10.4   Training

10.5   Matching

10.6   Analysis

 

[Home][About][1. Introduction][2. Overview][3. GUI][4. Image Signatures][5. Unsupervised Filters][6. Results & Analysis][7. BioFilters][8. NeuralFilters][9. Duplicated Documents][10. Face Recognition][11. Auto Part Recognition][12. Dynamic Library][13. NeuralNet Filter][14. Segment Variation][15. TV Advertisements][16. Counting & Tracking][17. Image PreProcessing][18. Image Processing][19. Batch Job][20. Parameters][21. Input Option][22. Application Developers][23. Reference Manual][24. Support Services][25. Readme.txt]

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