Features

The Biocapture SDK provides your application with a Scan Controller to scan and capture fingerprints.

It enables implementation of the following use case: Your application instantiates a Scan Controller, the user scan fingerprints of human beings, and your application receives the captured result for further data processing. For example, identification or verification of human beeings.

Scan results are provided through a Scan Flow Delegate. The Biocapture iOS SDK optionally provides a prepared Result Controller, which can be used to show the scan results and for further processing of the data.

Images, texts, and brand colors of the Biocapture SDK can easily be exchanged through our branding API to match your brand's and app's theme.

Scan Assistant

The Scan Assistant guides users during fingerprint capture by showing a moving preview, helping them place their fingers correctly. Enable this behavior with the isScanAssistantEnabled property of BcmScanConfig.

Presentation Attack Detection

Enable the liveness check with isPadCheckEnabled. The SDK analyzes the captured frames and ends the scan with the PAD_DETECTED error if a presentation attack is suspected. Details of the detection approach are intentionally not documented.

When PAD detection is enabled, the scan interface also animates: the finger template and the hand graphic in the lower-left corner gently rotate in 3D. These cues indicate that 3D liveness detection is running and support the identification of presentation attacks.

Localization

The Biocapture SDK has been translated to the following languages:

• English

Please reach out to your Biocapture contact if additional localization is required.

Data Format Support

The data are wrapped up in a Grayscale 8-bit UIImage object. Each pixel is stored on 1 byte.

This configuration is very flexible and offers the best quality. Additionally it opens the possibility to convert the image data to any data format, in the SDK based App.

Encoding into other formats

You can directly use convert to PNG format with UIKit framework which is native iOS framework. https://developer.apple.com/documentation/uikit/uiimage/1624096-pngdata

There are many open source libraries to encode a UIImage into other formats.

T3K supports to convert 8-bit Grayscale UIImage object into WSQ format with BcmConverterSdk framework. Please look into this framework for more detail.

AFIS Support

• Biocapture has been tested against common FP matcher and AFIS databases.
• PNG and WSQ format support for custom integration and projects.
• Support of 500 and 1000 dpi output images (1000 dpi depending on hardware performance and camera)