Fingerprint identification method and fingerprint identification device
First Claim
1. A fingerprint identification method, comprising:
- obtaining an object image by a fingerprint sensor, and storing a plurality of pixel data of the object image in a first color model format by a memory, wherein the pixel data comprise a plurality of first pixel values;
converting the pixel data into a second color model format by a processor, and obtaining a plurality of second pixel values based on the converted pixel data and a first gain value by the processor;
calculating a plurality of third pixel values based on the first pixel values and the second pixel values by the processor;
calculating a first standard deviation based on the third pixel values by the processor; and
determining whether the first standard deviation is greater than a first preset threshold value by the processor, if the first standard deviation is greater than the first preset threshold value, recognizing the object image as a fingerprint image of a true finger by the processor,wherein the step of calculating the third pixel values based on the first pixel values and the second pixel values comprises;
subtracting the second pixel values from the first pixel values for obtaining the third pixel values by the processor.
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Abstract
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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Citations
18 Claims
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1. A fingerprint identification method, comprising:
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obtaining an object image by a fingerprint sensor, and storing a plurality of pixel data of the object image in a first color model format by a memory, wherein the pixel data comprise a plurality of first pixel values; converting the pixel data into a second color model format by a processor, and obtaining a plurality of second pixel values based on the converted pixel data and a first gain value by the processor; calculating a plurality of third pixel values based on the first pixel values and the second pixel values by the processor; calculating a first standard deviation based on the third pixel values by the processor; and determining whether the first standard deviation is greater than a first preset threshold value by the processor, if the first standard deviation is greater than the first preset threshold value, recognizing the object image as a fingerprint image of a true finger by the processor, wherein the step of calculating the third pixel values based on the first pixel values and the second pixel values comprises; subtracting the second pixel values from the first pixel values for obtaining the third pixel values by the processor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A fingerprint identification device, comprising:
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a memory; a fingerprint sensor configured to capture an object image; and a processor coupled to the fingerprint sensor and the memory, the processor is configured to receive the object image and store a plurality of pixel data of the object image to the memory in a first color model format, wherein the processor converts the pixel data into a second color model format, and the processor obtains a plurality of second pixel values based on the converted pixel data and a first gain value, wherein the processor calculates a plurality of third pixel values based on the first pixel values and the second pixel values, and the processor calculates a first standard deviation based on the third pixel values wherein the processor determines whether the first standard deviation is greater than a first preset threshold value, if the first standard deviation is greater than the first preset threshold value, the processor recognizes the object image as a fingerprint image of a true finger, wherein the processor respectively subtracts the second pixel values from the first pixel values for obtaining the third pixel values. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification