Filter for Biometric Identification (Fingerprint, Iris)
Filters for biometric recognition are key optical elements used in biometric recognition systems such as fingerprint recognition and iris recognition. Their core function is to precisely select light in specific bands and filter out interfering signals, thereby improving recognition accuracy and reliability.
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Overview
Filters for biometric recognition are key optical elements used in biometric recognition systems such as fingerprint recognition and iris recognition. Their core function is to precisely select light in specific bands and filter out interfering signals, thereby improving recognition accuracy and reliability.
Applications
Fingerprint recognition (under-display fingerprint), iris recognition (financial payment, access control systems), multimodal biometric recognition (face recognition, motion recognition, 3D depth sensing; smartphones, AR/VR devices, autonomous driving).
Key Features
Recognition filters are key optical components used in biometric recognition systems such as fingerprint recognition and iris recognition. Their core function is to filter out interfering signals by precisely selecting light of specific wavelength bands, thereby improving recognition accuracy and reliability.
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Supplier Information
Huizhou Dingxin Optoelectronics Co., Ltd. was established in 2011, and is a professional optical thin film product service provider integrating R&D, production, sales and service. The company possesses advanced coating machines, cutting machines and other equipment, and maintains cleanrooms of Class 1000 and Class 100. Main products include optical communication filters, blue glass filters, IR-cut filters, narrowband filters, bandpass filters, optical cover glass, reflectors, lenses, etc. Products are widely applied in optical communications, digital cameras, automotive lenses, security monitoring, mobile phone cameras, biometrics, laser applications, medical instruments, AR/VR, and other intelligent applications.
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