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1. Introduction
The Attrasoft ImageFinder matches two images.
It can be used for Verification (1:1 Match), Search (1:N Match), Identification (1:N Match), and Batch processing (N:N Matching or N:M Match).
The primary focus of this version is whole image matching. It can also be used for various other applications, such as locating a segment in an image.
Figure 1.1 ImageFinder.
Image Recognition technology will increasingly replace human labor in the form of:
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Creating new products; or
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Improving existing products/processes to increase productivity,
which will translate into saving man-hours, saving money, making more money with fewer resources, doing new things, and/or shorten service turnaround time. Applications are limited only by your imagination:
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Biometrics
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Video - Image Recognition
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Content-Based Advertisement
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Statistics Collection (advertisement statistics, �)
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Internet Audio-Visual Search Engine
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Satellite Image Recognition (defense)
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Cancer Detection (medical)
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Content-base Image Retrieval (digital library)
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Space Image Recognition (space exploration)
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Object Detection (military)
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Face Recognition, Fingerprints, Palm Prints (security locks & systems)
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Stamp Recognition (post office)
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Trademark Search
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Real Time Event Detection
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Forensic Identifications
Chapter contents include:
1.1 What will the ImageFinder do?
1.2 Software Requirements
1.3 Customized Software
1.4 Demo Website
[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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