Technical information and specifications
Neurotechnology Slap Verification SDK provides advanced capabilities for contactless fingerprint recognition applications, including high-level API for all operations. There are also certain requirements for hand image and the hand position.
The Slap Verification SDK architecture requires to account the performed operations on integrator's or end-user's server:
- Integrators should ensure that encrypted connection is used for communications with the server.
- No biometric information is sent to the server during all operations performed using the SDK API, which require communication with the server. The biometric data is kept on the client-side, only transaction accounting information is sent to and received from the server.
The following operations are available via the high-level API of the SDK:
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Slap template creation – a four-finger slap is captured from camera and the fingerprint template is extracted for further usage in the slap verification operation.
- The server returns proprietary encrypted data as a result of a successful enrolment transaction.
- The quality of the captured slap fingerprints' image can be optionally checked during this operation.
- Single fingerprints can be optionally obtained from the captured slap fingerprints' image as original and binarized images using our proprietary segmentation algorithm. Also, the positions of these fingerprints are generated (i.e. left/right index, middle, etc.)
- The template may be saved to any storage (database, file etc) together with custom metainformation (like person's name etc.). Note that the storage functionality is not part of the Slap Verification SDK, although the programming samples include an example of such implementation).
- Slap verification – a four-finger slap is captured from the camera and is verified against the slap template which was created during the slap template creation operation.
- Template import – a four-finger slap image can be imported into the application, based on the Slap Verification SDK.. Later this template can be used for slap verification operation in the same way, as the native templates from the slap template creation operation.
- Quality check – the quality of the captured slap fingerprints' image is evaluated. The obtained qualtiy value can be used for rejecting the provided image and asking the user to repeat capture.
- Fingerprint segmentation– single fingerprints are obtained from the captured slap fingerprints' image using our proprietary segmentation algorithm. The algorithm provides original and binarized fingerprint images Also, the positions of these fingerprints are generated (i.e. left/right index, middle, etc.)
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