Implementation system of finger detection based on image grayscale information

Abstract

The invention provides a finger detection framework based on image grey information. The finger detection framework comprises a histogram statistic module, a threshold point generation module, a local difference maximum value calculation module of two adjacent frame images, an offset result calculation module of the two adjacent frame images, and a finger detection module, wherein S1, the threshold point generation module is used for generating a fingerprint image threshold point according to histogram distribution; S2, the local difference maximum value calculation module of the two adjacent frame images is used for calculating the maximum value of a local difference between the two adjacent frame images and judging whether the two adjacent frame images have a certain difference; S3, the finger detection module is used for judging whether a finger leaves from or is put on a detection table according to the image non-background distribution situation and the difference between the two adjacent frame images; S4, the offset result calculation module of the two adjacent frame images is used for calculating the offset of the two adjacent frame images and judging whether the finger moves in an image acquisition process. Compared with an existing finger detection method, the finger detection framework is more sensitive.

Description

technical field [0001] The invention relates to the field of digital image recognition, in particular to a system for realizing finger detection based on image grayscale information. Background technique [0002] The existing finger detection technology uses a differential detection circuit to detect finger placement and finger departure. The detection principle is mainly by adding an electrical parameter detection device on the surface or inside of the sensor, such as a thermistor, piezoresistor, capacitor and other devices. According to the capacitance, inductance formed between the surface of the sensor and the finger, or the temperature of the finger itself, the pressure on the contact surface, humidity and other physical parameters change, the electrical parameters such as the voltage or current generated by the electrical parameter detection device change, and the finger release is performed. Up, finger off detection. Since the finger detection circuit is placed on th...

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Problems solved by technology

[0004] Since the differential detection method is based on the magnitude of the change in electrical parameters for finger detection and judgment, when any physical parameter that can be detected by the electrical parameter detection device approaches the sensor, it will cause changes in the physical parameters near the sensor, resulting in a change in the electrical parameters of the sensor. Variety

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