Finger multi-modal data synchronous acquisition equipment and method thereof

Abstract

The invention relates to the technical field of biological feature recognition, in particular to finger multi-modal data synchronous acquisition equipment and a method thereof. The device comprises a shading sampling chamber, a height-adjustable supporting frame, a circuit bin, a fingerprint acquisition module, a finger vein acquisition module, an inner knuckle print acquisition module and an external computer provided with an acquisition program, and the external computer is connected with and controls the fingerprint acquisition module, the finger vein acquisition module and the inner knuckle print acquisition module through the circuit bin. The supporting frame is connected to the upper portion of the shading sampling chamber and forms a finger containing space, the fingerprint collecting module is arranged on the front portion of the shading sampling chamber and aligned to the fingerprint of a finger, the shading sampling chamber is provided with a light-transmitting opening, and the finger vein collecting module and the inner knuckle print collecting module are arranged in the shading sampling chamber and aligned to the finger through the light-transmitting opening. A light source is arranged on the supporting frame. Meanwhile, finger multi-modal data are collected, it is guaranteed that finger deformation and postures obtained through collection are consistent, and accurate alignment can be conducted.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a device and method for synchronously collecting finger multi-modal data. Background technique [0002] In recent years, multimodal biometric identification technology has received more and more attention based on its high precision and high security. As one of the most abundant parts of human biological features, finger is an important research object for multi-modal biometric feature extraction and recognition. Whether high-quality finger multimodal data can be collected synchronously determines the performance and accuracy of subsequent feature extraction and recognition work, and is a key step in the multimodal biometric recognition algorithm based on fingers. [0003] At present, some single-mode collection devices for fingerprints, finger veins and knuckle prints, as well as low-resolution fingerprint and finger vein simultaneous collection device...

AI Technical Summary

Problems solved by technology

[0005] 1. The image data of fingerprint, finger vein and inner knuckle pattern cannot be collected at the same time;

[0006] 2. The quality of the collected image data is generally low

For fingerprint image data, most of the existing synchronous acquisition devices can only collect low-resolution images; for finger vein image data, there are cases where the finger vein cannot penetrate or completely penetrate

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