Server SDK for fingerprint recognition

Neurodactyl SDK helps system integrators and software providers to implement biometric fingerprint recognition - verification or identification - into their products, systems and services. The SDK is based on deep learning technologies and matches any types of fingerprints between each other: flats, rolls, latents and photo images, creating fixed-size and compatible template for any type of fingerprints. Recognition algorithm of Neurodactyl server SDK has archived world's top tier accuracy in NIST PFT III benchmarks.

1

Fingerprints detection

The SDK detects fingerprints on photo images and scans (250 dpi and higher). The detector returns 2 landmarks and bounding boxes for each detected fingerprint. Number of fingerprints/fingers on an image is not limited. Left/right hand detection based on fingerprint analysis (optional).

2

Biometric template extraction

The SDK converts an image into compact descriptor, describing unique features of a fingerprint. All templates extracted from photo images and scans are compatible and have standard size - 512 bytes

3

Matching

The SDK compares templates against each other in different modes: 1:1, 1:N, M:N (batch mode) and returns similarity score (native values equal to -logFAR and %).

4

Images decompression

The SDK has decompression feature including WSQ format.

5

Serialization

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