2.5 Signature
About1 Introduction2 Image Recognition3 TransApplet4 API5 Interface6 Input7 Image Display8 Preprocessing9 Processing10 Normalization11 Parameter Class12 Image Signatures13 Unsupervised Filters14 BioFilters15 NeuralFilters16 Dynamic Library17 NeuralNet Filter18 Parameters19 Input Options20 Database Input21 Video Input22  Live Video Input23  Counting & Tracking24  Counting 25  Batch Job26 ImageFinder for DOS27 ImageHunt 28 Support Packages

2.1 Structure 
2.2 Filters 
2.3 Processing 
2.4 Normalization 
2.5 Signature 
2.6 Segment Matching 
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2.5   Signature Matching

In this phase, a unique image signature is computed for each image. Different images will have different signatures. The Signature Matching is based on these image signatures. This matching can easily reach the speed of 1,000,000 per second and is very fast.

A typical image has a dimension of say 480x640, or 300,000 pixels. A Feature Space of an image is a collection of variables computed from a given image. The number of variables in a Feature Space is usually less than 1% of the number of pixels. As a result, the matching in the Feature Space is much faster than Pixel Matching.

The following filters implement the Signature matching:

  •    Unsupervised Filter
  •    BioFilter
  •    Neural Filter

[Home][About][1 Introduction][2 Image Recognition][3 TransApplet][4 API][5 Interface][6 Input][7 Image Display][8 Preprocessing][9 Processing][10 Normalization][11 Parameter Class][12 Image Signatures][13 Unsupervised Filters][14 BioFilters][15 NeuralFilters][16 Dynamic Library][17 NeuralNet Filter][18 Parameters][19 Input Options][20 Database Input][21 Video Input][22 Live Video Input][23 Counting & Tracking][24 Counting ][25 Batch Job][26 ImageFinder for DOS][27 ImageHunt ][28 Support Packages]

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