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How to Capture Fingerprint Image in Android?

Published in Android Fingerprint Capture 5 mins read

Capturing a fingerprint image on an Android device primarily involves using a compatible fingerprint sensor, either one built into the device or an external scanner connected via USB or Bluetooth, in conjunction with an appropriate Android application or SDK.

Understanding Fingerprint Capture on Android

While Android devices commonly use built-in fingerprint sensors for user authentication (unlocking the phone, authorizing payments), this process typically captures a template (a mathematical representation of the fingerprint features) rather than a raw image. This template is then securely stored and used for matching.

Capturing a raw fingerprint image or specific templates for purposes beyond basic OS authentication, such as enrollment in a custom database or identity verification, often requires interacting directly with the sensor hardware through specific APIs or manufacturer SDKs.

As highlighted by the reference, the process involves using "the device to capture" the fingerprint. This means the capture functionality relies on the fingerprint sensor itself. For scenarios like capturing "every single finger", as mentioned, dedicated applications and potentially external scanners are often used to manage and store multiple fingerprint records.

Methods for Fingerprint Capture

There are two main approaches to capturing fingerprint data on Android:

1. Using the Built-in Fingerprint Sensor

Android provides the FingerprintManager (deprecated) or BiometricManager / BiometricPrompt APIs to interface with the built-in sensor. However, these APIs are primarily designed for user authentication. They do not typically provide direct access to raw fingerprint images for security reasons. Developers can initiate a scanning process for authentication, and the system handles the capture and matching internally.

  • Purpose: User authentication, app login, payment authorization.
  • Access: Via standard Android Biometric APIs.
  • Output: Authentication result (success/failure) based on template matching; not raw image access.

2. Using an External Fingerprint Scanner

For applications requiring the capture of fingerprint images or templates for custom purposes (like identity management, attendance systems, or capturing "every single finger"), using an external fingerprint scanner is the standard approach. These scanners connect to the Android device, usually via USB (requiring USB Host mode support on the Android device) or Bluetooth.

  • Process:
    1. Connect the external scanner to the Android device.
    2. An Android application uses the scanner manufacturer's SDK (Software Development Kit) to communicate with the device.
    3. The SDK provides methods to initiate capture.
    4. The user places their finger on the scanner.
    5. The scanner captures the fingerprint data (image or template) and sends it to the Android application via the SDK.
    6. The application can then process, display, or store the captured data.
    7. The reference notes the need to "accept that as well" after capture, suggesting a step to confirm or save the captured data.
  • Purpose: Enrollment in custom systems, identity verification, collecting multiple fingerprints, specific application workflows.
  • Access: Via manufacturer-specific SDKs provided for the external scanner.
  • Output: Often provides access to raw fingerprint images (like grayscale bitmaps) or proprietary templates, depending on the SDK and scanner capabilities.

Practical Steps for Developers

To capture fingerprint images using an external scanner in an Android application:

  1. Choose a Compatible Scanner: Select an external fingerprint scanner that provides an Android SDK.
  2. Connect the Scanner: Ensure the Android device supports the connection type (e.g., USB Host mode).
  3. Integrate the SDK: Add the scanner manufacturer's SDK to your Android project.
  4. Request Permissions: Your app will likely need permissions to access USB devices or Bluetooth.
  5. Initialize the Scanner: Use the SDK to initialize and connect to the scanner device.
  6. Implement Capture Logic: Use the SDK's methods to start a capture session. This involves prompting the user to place their finger.
  7. Handle Captured Data: The SDK will provide callbacks or return data (image or template) upon successful capture. Process this data as required by your application (e.g., display the image, save the template, perform matching).
  8. Implement Confirmation: Add a step, as suggested by the reference's "accept that as well", to allow the user or application to confirm the quality and acceptance of the captured data before proceeding.

Summary Table

Feature Built-in Sensor (Standard API) External Scanner (SDK)
Primary Use OS Authentication Custom Apps, Enrollment, Verification, "every single finger"
API/SDK Android Biometric APIs Manufacturer-specific SDKs
Output Authentication Result (template matching) Raw Images, Templates (format depends on scanner/SDK)
Image Access Generally not accessible Often accessible
Hardware Integrated into device Separate peripheral (USB, Bluetooth)
Reference Aspect Uses "the device" (the phone) Uses "the device" (the scanner)

In essence, capturing a fingerprint image on Android beyond the standard authentication flow typically necessitates the use of an external scanner and its dedicated SDK to leverage its capabilities for image or specific template extraction.

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