About Attrasoft ImageFinder 
Software Requirements 
Install the Software
Information and Support 
Statement of Copyright Restriction 

1.   INTRODUCTION 

1.1   What will the ImageFinder do? 
1.2   Biometrics 
1.3   Software Requirements 
1.4   Customized Software 
1.5   Trails 

2.  IMAGEFINDER OVERVIEW 

2.1   ImageFinder Internal Structures 
2.2   Image Preprocessing 
2.3   Normalization 
2.4   Feature Recognition 
2.5   ABM Matching Engine 
2.6   Multi-Layered ABM 
2.7   Chapter Overview 

3.   FACEFINDER 

3.1   Introduction 

3.1.1   Expectation 
3.1.2   FaceFinder Input 
3.1.3   FaceFinder 
3.1.4   Restrictions 

3.2   Identification 

3.2.1   Operation 
3.2.2   Template Matching  Output 
3.2.3   Checking Identification Results 
3.2.4   Analysis 
3.2.5   Examples 
3.2.6   Identify with the Template File 

3.3   Verification 

3.3.1   Operation 
3.3.2   Example

4.   DOCUMENTFINDER 

4.1   Why Image Matching? 

4.1.1   Expectations 

4.2   Run DocumentFinder 

4.2.1   Input 
4.2.2   Training 
4.2.3   Matching 

4.3   Restrictions 
4.4   Examples 
4.5   Simple Matching 

4.5.1   Operation 
4.5.2   File Input Examples 
4.5.3   Dir Input Examples 

4.6   Three-Step Matching 

4.6.1   Matching Procedure 
4.6.2   Example “BioAPI” 

4.7   Parameters 
4.8   Checking the Results 

4.8.1   B1_matchlist.txt 
4.8.2   Example “Abm54” 
4.8.3   Example “All” 

4.9   Query Set Vs Target Set 

4.9.1   Query Set against Target Set 
4.9.2   Examples

5.   IMAGEEXAMINER 

5.1   Introduction 
5.2   Operations 

5.2.1   Data 
5.2.2   Commands 
5.2.3   Parameters 

5.3   Getting Started 

5.3.1   The Problem 
5.3.2   Good Match 
5.3.3   Bad Match 

5.4   Multiple Matches 

5.4.1   Multiple Good Matches 
5.4.2   Multiple Bad Matches 
5.4.3   Limitation of the Software

6.   IMAGE PROCESSING 

7.   BIOFILTERS 

7.1    Test-Driving the Label Matching Problem, Unsupervised N:N Matching 
7.2    BioFilter Overview 
7.3    Unsupervised 1:N Matching 
7.4    Training 
7.5    Supervised N:N Matching 
7.6    Supervised 1:N Matching 
7.7    Checking the Results 
7.8    File Input 
7.9    Analysis 
7.10  Summary 

8.   NEURAL FILTERS 

8.1   Test-Driving the Label Matching Problem 
8.2   Neural Filter Overview 
8.3   Training 
8.4   N:N Matching 
8.5   1:N Matching 
8.6   Checking the Results 
8.7   Analysis 
8.8   Summary 

9.   NEURALNET FILTERS 

9.1   Test-Driving the Logo Matching Problem 
9.2   NeuralNet Filter Overview 
9.3   Training 
9.4   N:N Matching 
9.5   1:N Matching 
9.6   Summary

10.   PARAMETERS 

10.1   Overview 
10.2   Filter Parameters 
10.3   Image Processing 

10.3.1   Edge Filters 
10.3.2   Threshold Filters 
10.3.3   Clean Up Filters 
10.3.4   Starting the Selection 

10.4   Normalization Filter 

10.4.1   Reduction Filters 
10.4.2   Parameters 

10.5   BioFilter 
10.6   Neural Filters 

10.7      NeuralNet Filter 
10.7.1   Symmetry 
10.7.2   Translation Type 
10.7.3   Scaling Type 
10.7.4   Rotation Type 
10.7.5   Area of Interest (AOI) 
10.7.6   Blurring 
10.7.7   Sensitivity 
10.7.8   Internal/External Weight Cut 
10.7.9    L/S Segments 
10.7.10  Image Type 
10.7.11  Output 
10.7.12  Segment 
10.7.13  Bypass 
10.7.14  Summary

11.   BATCH JOB 

11.1   Creating Batch Code 
11.2   Sample Batch 
11.3   Overview 
11.4   Batch Execution Code 
11.5   BioFilter Examples 
11.6   NeuralFilter Examples 
11.7   NeuralNet Filter Examples 

12.   NEURALNET FILTER AND SHORT-SEARCH 

12.1   Overview 
12.2   Parameters 
12.3   Short-Search, Long-Search, and File- Search 
12.4   ImageFinder Operations for Short- Search 
12.5   ImageFinder Operations for Short- Search (Advanced) 
12.6 TradeMark Retrieval 

12.6.1   United Way - Rotation Symmetry 
12.6.2   Tabasco - Rotation Symmetry 
12.6.3   Mr. Potato - Scaling Symmetry 
12.6.4   Monopoly - Scaling Symmetry 
12.6.5   Chemical Compound 

12.7   Stamp Recognition 

12.7.1   Example 1 
12.7.2   Example 2 

13.   NEURALNET FILTER LONG-SEARCH 

13.1   Long-Search File Structure 
13.2  Trademark  Example 
13.3   Keyword-Search vs Content-Based Search 

14.   NEURALNET FILTER PARAMETER ADVISOR 

14.1   Parameter Advisor 
14.2   License Plate Recognition 

15.   BIOMETRICS 

15.1   Attrasoft Facial Recognition Classifications 
15.2   How to Build an Image Recognition Solution with the ImageFinder 
15.3   Fingerprint Data 
15.4   Image Processing 
15.5   BioFilter 
15.6   Neural Filter 
15.7   NeuralNet Filter 
15.8   Improvement 

16.   SEGLOCATOR 

16.1   Coordinate System 
16.2   Six Examples 
16.3   Segment Output 

17.   CUSTOMIZED POINT-LOCATOR 

17.1   Locating Eye and Nose 
17.2   Feret 100 
17.3   Run Your Data 
17.4   Analysis 

18.   BIOFILTER II 

18.1   Input 
18.2   Data 

18.2.1   Good Match 
18.2.2   Bad Match 

18.3   Templates 

18.3.1   File Input 
18.3.2   Directory Input 

18.4   Training 
18.5   Training the BioFilter II 
18.6   1:N and N:N Matching Example 1 
18.7   1:N and N:N Matching Example 2 
18.8   Two-Layer Neural Net Architecture

19.   NEURAL FILTER II 

19.1   Overview 
19.2   Training 
19.3   1:N and N:N Matching Example 1 
19.4   1:N  Example 2 
19.5   Two-Layer Neural Net Architecture 

20.   NEURALNET FILTER II 

20.1   Overview
20.2   Positive Match Examples 
20.3   Negative Match Examples 

21.   API 

21.1   ImageFinder Internal Structures 
21.2   Software Structure 
21.3   Standard API 
21.4   Example: Unsupervised Learning 

22.   IMAGEFINDER FOR DOS 

22.1   Introduction 
22.2   Batch Files 
22.3   Batch Commands 

23.  REFERENCE MANUAL 

23.1    Input 
23.2    Image Processing 
23.3    Normalization 
23.4    BioFilter 
23.5    Neural Filter 
23.6    NeuralNet Filter 
23.7    Batch Commands 
23.8    BioFilter II 
23.9    Neural Filter II 
23.10   NeuralNet II Filter 
23.11   Segment-Locator 
23.12   Other Objects In the Page 
23.13   Examples 

24. IMAGEFINDER SUPPORT SERVICE PACKAGES 

24.1   What is Support Service? 
24.2   What is a Feasibility Study? 
24.3   ImageFinder Services 

CHAPTER 25.   README.TXT 

25.1   Software Requirements 
25.2   Install the Software 
25.3   Image Recognition 

25.3.1   Image Processing 
25.3.2   BioFilter Templates 
25.3.3   BioFilter Training and Matching 
25.3.4   Neural Filters 
25.3.5   NeuralNet Filter 
25.3.6   Batch File 
 

 

Send questions or comments to:
webmaster@attrasoft.com
or contact us at: 
          (912) 484-1717, (912) 897 - 1717 
      Attrasoft,P. O. Box 13051, Savannah, GA. 31406, USA
Copyright © 2004 Attrasoft, Inc. All rights reserved.

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