Gingy Technology Inc.

Tsung-Shan Chen

Chun-Lang Hung

An image capture apparatus includes an imaging unit and a light receiving device is provided. The imaging unit includes an electrode, a light emitting layer disposed on the electrode and a first dielectric layer disposed on the light emitting layer. At least one portion of an object is in contact with a portion of the first dielectric layer so that the light emitting layer emits an image light beam correspond to the portion of the first dielectric layer. The light receiving device is disposed on a transmission path of the image light beam.

Image capture apparatus

This invention disclosures a fingerprint identification apparatus and biometric signals sensing method using the same. The fingerprint identification apparatus comprises: a photoelectric sensor, a light module and an identification unit in which the photoelectric sensor with a fingerprint sensing face is to transform light intensity signals into electronic signals; the light module is to produce test light; the identification unit is electrically connected with the photoelectric sensor, wherein, there are different sensing modes with corresponding actions; in the first sensing mode, the identification unit senses a fingerprint image by the photoelectric sensor; in the second mode, the identification unit senses a spectrum by the photoelectric sensor to determine the blood glucose information. Therefore, this fingerprint identification apparatus can detect the fingerprint and blood glucose at the same time.

Fingerprint identification apparatus and biometric signals sensing method using the same

A fingerprint identification method is provided. The fingerprint identification method includes following steps: obtaining an object image and storing a plurality of pixel data of the object image in a first color model format, where the pixel data include a plurality of first pixel values; converting the pixel data into a second color model format and obtaining a plurality of second pixel values based on the converted pixel data and a first gain value; calculating a plurality of third pixel values based on the first pixel values and the second pixel values; calculating a first standard deviation based on the third pixel values; and determining whether the first standard deviation being greater than a first preset threshold value, if the first standard deviation being greater than the first preset threshold value, recognizing the object image as a fingerprint image of a true finger.

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Hsinchu, Taiwan

Tsung-Shan Chen