


Helps developers to build an Automatic Fingerprint Identification System (AFIS).
Those systems can automatically detect several fingerprint features like: ridge pattern, core, deltas, ridge count and minutiae.
| A 500 DPI version of the extracted image is useful because, regardless of the input image resolution, the minutiae extraction is always made on a 500 DPI image. International standards determined 500 DPI as the default resolution for fingerprint systems. As such, this resolution is used in fingerprint readers, fingerprint matchers and fingerprint compression algorithms. |
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| The quality map shows the background (black) and four levels of quality, showing where the ridges are more consistent and where the image have noise or lack of ridges information. |
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| The binary image shows the processed image after removal of the gray tones information. Good images provide a clear image of fingerprint ridges, in a binary image. |
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| The ridges direction map shows the average direction of ridges in a given point of the image. |
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| Finally, the ridges image shows the ridges detected by Griaule AFIS algorithm. |
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