Fingerprint Identification Pixels Crosstalk Reduction

The patent divides the fingerprint identification process into two stages: first capturing the entire fingerprint image, then segmenting it to identify characteristic points. Subsequently, only the pixels corresponding to these characteristic points are activated for detailed recognition. This segmentation approach reduces the number of simultaneously active pixels, thereby minimizing crosstalk while maintaining comprehensive coverage through the initial full-image capture.

The patent applies local quality by differentiating the treatment of different regions within the fingerprint image. After identifying characteristic points in the entire fingerprint, the system activates only the specific pixels corresponding to these critical locations for detailed imaging. This localized activation ensures high measurement precision at key positions without requiring all pixels to emit light simultaneously, thus reducing crosstalk while maintaining identification accuracy.

The patent performs preliminary action by first capturing the complete fingerprint image to identify the locations of characteristic points. Based on this preliminary information, the system then selectively activates only the pixels corresponding to these identified characteristic points for detailed imaging. This preliminary identification step enables subsequent targeted pixel activation, ensuring sufficient signal strength at critical locations without the crosstalk problems associated with simultaneous activation of all pixels.

The patent implements feedback by using the information obtained from the initial full-fingerprint image capture to guide the subsequent selective pixel activation. The characteristic points identified in the first stage provide feedback on which specific pixels should be activated in the second stage. This feedback mechanism ensures that pixels are activated based on actual fingerprint features, maintaining high signal quality at critical positions while avoiding unnecessary pixel activation that would cause crosstalk.

The patent resolves this contradiction through segmentation by dividing the fingerprint recognition process into two distinct phases. In the first phase, all pixels are activated to capture the complete fingerprint image, ensuring full coverage for locating characteristic points. In the second phase, only the subset of pixels corresponding to identified characteristic points are activated for detailed imaging. This segmentation ensures that comprehensive coverage is achieved in the first phase, while high-precision localized imaging is achieved in the second phase with minimal crosstalk.

The patent applies preliminary action by first capturing the entire fingerprint image to establish the complete coverage and identify characteristic point locations. This preliminary full-image capture ensures that no fingerprint features are missed. Subsequently, based on this preliminary information, the system selectively activates only the necessary pixels for detailed recognition. This two-stage approach ensures both complete coverage and high precision without the drawbacks of either simultaneous full activation or random selective activation.