Japan Display had one patents in artificial intelligence during Q4 2023. The patent filed by Japan Display Inc in Q4 2023 involves a method for training a fingerprint image enhancing engine for a fingerprint capturing device. This method includes creating a synthetic image dataset with clean and raw synthetic images, training a neural network using this dataset, and utilizing a model of the fingerprint capturing device to produce the raw synthetic images. GlobalData’s report on Japan Display gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Japan Display grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Method and apparatus for developing a fingerprint recognition apparatus (Patent ID: US20230326187A1)

The patent filed by Japan Display Inc. describes a method for training a fingerprint image enhancing engine for use in a fingerprint capturing device. This method involves generating a synthetic image dataset with pairs of clean and raw synthetic images, training a neural network using this dataset, and further refining the training based on actual fingerprint images. The process includes creating a model of the fingerprint capturing device based on design constraints, simulating mechanical and electrical parameters, and applying transform functions to generate raw synthetic images.

The apparatus described in the patent includes processing circuitry that acts as a synthetic image dataset generator and neural network trainer. This apparatus is capable of generating the model of the fingerprint capturing device based on design constraints, producing raw synthetic images from clean ones, and training the neural network using the synthetic image dataset. Additionally, the processing circuitry can further refine the training based on actual fingerprint images, ensuring the enhancement engine is optimized for real-world use. Overall, the patent outlines a comprehensive method and apparatus for training a fingerprint image enhancing engine, incorporating both synthetic data and real-world inputs to improve the accuracy and effectiveness of the technology.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.