TWI428840B - System and method for validating identity of a handheld device - Google Patents

Description

Handheld mobile electronic device identity authentication system and method

The present invention relates to an identity authentication system and method, and more particularly to a system and method for identity authentication using a handheld mobile electronic device.

At present, mobile electronic devices with mobile features are being used in an increasingly wide range of environments, which provide great convenience for communication, entertainment and data exchange. The main handheld mobile electronic devices include mobile phones, PDAs (personal digital assistants), handheld game consoles, digital cameras and handheld computers.

The identification of personal identity and the identification of licensing rights are a very important part of life, especially with the advent of the Internet age, people are increasingly demanding security. However, more and more cumbersome password settings have become a big worry for people, and password management is especially important for high-security business life. In order to achieve higher security, the use of more complex and inconvenient passwords is the current choice, and if we use the same password for different handheld mobile devices around us, then we will increase the convenience and increase the convenience. A hidden danger of security. But if you set it to a different password, it's easy to remember.

Therefore, it is necessary to provide a secure and secure system and method for authenticating a handheld mobile electronic device without having to be stolen or forgotten like a password. Danger.

In view of the above, it is necessary to provide a handheld mobile electronic device identity authentication system and method capable of using a handheld electronic device to scan a user's fingerprint and identify the handheld mobile electronic device, thereby improving the security of the handheld mobile electronic device.

A handheld mobile electronic device identity authentication system, wherein the handheld mobile electronic device comprises a fingerprint scanning device and a memory, wherein the memory body stores characteristic values of original fingerprint feature points of each user, and the handheld mobile electronic device The device further includes: a fingerprint scanning module, configured to enable the fingerprint scanning device to scan a user's authentication fingerprint and obtain a corresponding authentication fingerprint image; and a processing module configured to process the authentication fingerprint image to obtain a negative image of the fingerprint image; a fingerprint feature extraction module, configured to extract an authentication fingerprint feature point in the negative image of the authentication fingerprint image, and calculate a feature value of the extracted authentication fingerprint feature point; a group, configured to compare whether a feature value of the authenticated fingerprint feature point matches a feature value of the user's original fingerprint feature point in the memory; and an authentication module configured to use the feature value of the authentication fingerprint feature point When the characteristic value of the original fingerprint feature point of the user in the memory matches, the user is allowed to enter the handheld mobile electronic device by authentication.

A handheld mobile electronic device identity authentication method, the handheld mobile electronic device comprising a fingerprint scanning device and a memory, the method comprising the steps of: storing feature values of original fingerprint feature points of each user of the handheld mobile electronic device to a memory Scanning the user's authentication fingerprint by the fingerprint scanning device, and acquiring the corresponding authentication fingerprint image; processing the scanned authentication fingerprint image to obtain a negative image of the authentication fingerprint image; Extracting the authentication fingerprint feature point from the negative image of the authentication fingerprint image, and calculating the feature value of the extracted authentication fingerprint feature point; Whether the feature value of the authentication fingerprint feature point matches the feature value of the user's original fingerprint feature point in the memory; and when the feature value of the authentication fingerprint feature point and the original fingerprint feature point of the user in the memory When the feature values match, the user is allowed to enter the handheld mobile electronic device by authentication.

Compared with the prior art, the handheld mobile electronic device identity authentication system and method can utilize the fingerprint scanning device of the handheld electronic device to scan the user's fingerprint and identify the handheld mobile electronic device, thereby improving the security of the handheld mobile electronic device.

1‧‧‧Handheld mobile electronic devices

11‧‧‧Fingerprint scanning device

12‧‧‧ memory

110‧‧‧Fingerprint scanning module

120‧‧‧Processing module

130‧‧‧Fingerprint feature extraction module

140‧‧‧ storage module

150‧‧‧ Alignment module

160‧‧‧Certificate Module

21‧‧‧ glass platform

22‧‧‧ lens

23‧‧‧Lights

24‧‧‧Lights

S11‧‧‧ scan the original fingerprint of each user and obtain the corresponding original fingerprint image

S12‧‧‧ processes the original fingerprint image of each user to obtain a negative image of the original fingerprint image

S13‧‧‧ extracts the original fingerprint feature points from the negative image of the original fingerprint image, and calculates the extracted feature values of each original fingerprint feature point

S14‧‧‧Save the original fingerprint feature points and the feature values of the original fingerprint feature points into the memory As the authentication code when the user enters the handheld mobile electronic device

S15‧‧‧ Scan the user's authentication fingerprint image when it is required to enter the handheld mobile electronic device through authentication

S16‧‧‧ Process the certified fingerprint image to obtain the negative image of the certified fingerprint image

S17‧‧‧ Extract the authentication fingerprint feature points in the negative image of the certified fingerprint image, and calculate the feature value of the extracted authentication fingerprint feature points

S18‧‧‧ Aligns whether the eigenvalue of the authentication fingerprint feature point matches the eigenvalue of the user's original fingerprint feature point in the memory

S19‧‧‧ allows the user to enter the handheld mobile electronic device

1 is a system architecture diagram of a preferred embodiment of a handheld mobile electronic device identity authentication system of the present invention.

2 is a schematic diagram of a preferred embodiment of the fingerprint scanning device of the present invention.

3 is a schematic view of another preferred embodiment of the fingerprint scanning device of the present invention.

4 is a flow chart of a preferred embodiment of the method for authenticating a handheld mobile electronic device of the present invention.

FIG. 5 is a schematic diagram of extracting fingerprint feature points of the present invention.

Figure 6 is a graph showing the coordinates of the extracted fingerprint feature points of the present invention.

Figure 7 is a schematic diagram of the relative position between the fingerprint feature points calculated by the present invention.

FIG. 1 is a system architecture diagram of a preferred embodiment of a handheld mobile electronic device identity authentication system of the present invention. The system architecture includes a handheld mobile electronic device 1. The handheld mobile electronic device 1 includes a fingerprint scanning device 11 and a memory 12.

The handheld mobile electronic device 1 can be a mobile phone or a PDA (personal digital) Assistant, personal digital assistant), handheld game console, digital camera or handheld computer.

The fingerprint scanning device 11 is configured to scan a fingerprint image of each user. The fingerprint scanning device 11 can be a camera, a fingerprint reader or other fingerprint recognition device. In the preferred embodiment, the fingerprint scanning device 11 is a fingerprint scanning device as shown in FIG. 2 or FIG. 3. As shown in FIGS. 2 and 3, the fingerprint scanning device 11 includes, but is not limited to, a glass platform 21, a lens 22, and illumination lamps 23, 24. In the fingerprint scanning device 11 shown in FIG. 2, the glass platform 21 is located at the top end of the fingerprint scanning device 11 for the user to place a finger on the glass platform 21 for fingerprint scanning. The lens 22 is opposite to the glass platform 21 for scanning the fingerprint of the user's finger placed on the glass platform 21 to obtain a fingerprint image. The illuminating lamps 23, 24 are respectively located at two ends of the glass platform 21 for illuminating the glass platform 21 so that the lens 22 can clearly scan the fingerprint of the user. Compared with the fingerprint scanning device 11 shown in FIG. 2, in the fingerprint scanning device 11 shown in FIG. 3, the light-emitting lamps 23, 24 are placed at both ends of the lens 22, facing the glass platform 21, and can also be illuminated. The glass platform 21 enables the lens 22 to clearly scan the user's fingerprint.

The memory 12 can be a memory of the mobile electronic device 1 itself, or can be an external memory card, such as a SIM card (Smart Media Card), an SD card (Secure Digital Card), CF card (Compact Flash Card), MMC card (Multi Media Card), MS card (Memory Stick), XD card (Extreme Digital Card), TF card (Trans Flash Card), etc. The memory 12 stores the feature values of the fingerprint feature points of the users. The feature values include, but are not limited to, the number of feature points and features. Point coordinates, feature point shape, and feature point distance.

The handheld mobile electronic device 1 further includes a fingerprint scanning module 110, a processing module 120, a fingerprint feature extraction module 130, a storage module 140, a comparison module 150, and an authentication module 160.

The fingerprint scanning module 110 is connected to the fingerprint scanning device 11 for enabling the fingerprint scanning device 11 to scan the original fingerprint of each user and obtain a corresponding original fingerprint image.

The processing module 120 is configured to process the acquired original fingerprint image of each user to obtain a negative image of the original fingerprint image. The processing performed by the processing module 120 on the original fingerprint image includes: adjusting brightness and contrast of the original fingerprint image; changing the original fingerprint image after adjusting brightness and contrast from color to black and white; adjusting the black and white The color gradation of the original fingerprint image; the original fingerprint image after the gradation adjustment is converted into a negative image. The negative image indicates that the dark color is opposite to the adjusted original fingerprint image, and the color and the adjusted original fingerprint image complement each other.

The fingerprint feature extraction module 130 is configured to extract original fingerprint feature points in the negative image of the original fingerprint image, and calculate feature values of the extracted original fingerprint feature points. The feature values of the original fingerprint feature points include, but are not limited to, the number of feature points, the feature point coordinates, the shape of the feature points, and the feature point distance. The fingerprint feature extraction module 130 extracts the original fingerprint feature points and calculates the number of original fingerprint feature points as shown in FIG. 5. Among them, the fingerprint of the circle and the box part is the extracted original fingerprint feature point. The fingerprint of the box part is the main feature point of the fingerprint, including the loop shape and the triangle shape. The fingerprint of the circle part is the fingerprint auxiliary feature point, including the fingerprint disconnection point and the fingerprint bifurcation point. In this diagram, the fingerprint main feature The number of points is 2, and the number of fingerprint auxiliary feature points is 16. The method for the fingerprint feature extraction module 130 to calculate the coordinates of each original fingerprint feature point is as shown in FIG. 6. After extracting the fingerprint main feature point and the fingerprint auxiliary feature point of the original fingerprint, a coordinate map is established on each of the fingerprint main feature points and the fingerprint auxiliary feature points, and then coordinates of each fingerprint feature point can be calculated according to the coordinate map. The method for calculating the shape of the original fingerprint feature points and the distance between the original fingerprint feature points by the fingerprint feature extraction module 130 is as shown in FIG. 7 . According to the calculated coordinates of each fingerprint feature point, the distance between each fingerprint feature point can be calculated, and each fingerprint feature point is connected with the closest fingerprint feature point, and the connected figure is the shape of the fingerprint feature point. .

The storage module 140 is connected to the memory 12 for storing the original fingerprint feature points extracted by the fingerprint feature extraction module 130 and the calculated feature values of the original fingerprint feature points to the memory 12 . The authentication code when each user enters the handheld mobile electronic device 1 is used.

The fingerprint scanning module 110 is further configured to enable the fingerprint scanning device 11 to scan the user's authentication fingerprint and obtain a corresponding authentication fingerprint image when the handheld mobile electronic device 1 needs to be authenticated.

The processing module 120 is further configured to process the authentication fingerprint image acquired by the fingerprint scanning module 110 to obtain a negative image of the authentication fingerprint image.

The fingerprint feature extraction module 130 is further configured to extract an authentication fingerprint feature point in the negative image of the authentication fingerprint image, and calculate a feature value of the extracted authentication fingerprint feature point. Similarly, the feature values of the authentication fingerprint feature points include, but are not limited to, the number of feature points, the feature point coordinates, the shape of the feature points, and the feature point distance. Wherein, the method for extracting the authentication fingerprint feature points is the same as the method for extracting the original fingerprint feature points, and the method for calculating the feature values of the authentication fingerprint feature points is The method of calculating the feature values of the initial fingerprint feature points is the same.

The comparison module 150 is configured to compare whether the feature value of the authentication fingerprint feature point matches the feature value of the user's original fingerprint feature point in the memory 12. For example, when the primary feature point of the authentication fingerprint is the same as the primary feature point of the original fingerprint, and the number of the secondary feature points of the authentication fingerprint exceeds 60% of the number of the secondary feature points of the original fingerprint, the authentication fingerprint and the original fingerprint may be considered as features. The number of points coincides; when the feature point coordinates of the authentication fingerprint are the same as the feature point coordinates of the original fingerprint, it can be considered that the authentication fingerprint matches the original fingerprint on the feature point coordinates.

The authentication module 160 is configured to allow the user to enter the handheld mobile electronic device 1 when the feature value of the authentication fingerprint feature point matches the feature value of the original fingerprint feature point of the user in the memory 12 .

FIG. 4 is a flow chart of a preferred embodiment of the method for authenticating a handheld mobile electronic device according to the present invention. First, in step S11, the fingerprint scanning module 110 scans the original fingerprint of each user by the fingerprint scanning device 11 and acquires a corresponding original fingerprint image.

In step S12, the processing module 120 processes the original fingerprint image of each user to obtain a negative image of the original fingerprint image. The processing performed by the processing module 120 on the original fingerprint image includes: adjusting brightness and contrast of the original fingerprint image; changing the original fingerprint image after adjusting brightness and contrast from color to black and white; adjusting the black and white The color gradation of the original fingerprint image; the original fingerprint image after the gradation adjustment is converted into a negative image.

Step S13, the fingerprint feature extraction module 130 extracts the original fingerprint feature points in the negative image of the original fingerprint image, and calculates the extracted original fingerprint feature points. Eigenvalues. The feature values of the original fingerprint feature points include, but are not limited to, the number of feature points, the feature point coordinates, the shape of the feature points, and the feature point distance.

In step S14, the storage module 140 stores the extracted original fingerprint feature points and the calculated feature values of the original fingerprint feature points in the memory 12 as the authentication code when each user enters the handheld mobile electronic device 1.

In step S15, when it is required to enter the handheld mobile electronic device 1 by the authentication, the fingerprint scanning module 110 scans the user's authentication fingerprint by the fingerprint scanning device 11 and acquires the corresponding authentication fingerprint image.

In step S16, the processing module 120 processes the authentication fingerprint image to obtain a negative image of the authentication fingerprint image.

In step S17, the fingerprint feature extraction module 130 extracts the authentication fingerprint feature point in the negative image of the authentication fingerprint image, and calculates the feature value of the extracted authentication fingerprint feature point. Similarly, the feature values of the authentication fingerprint feature points include, but are not limited to, the number of feature points, the feature point coordinates, the shape of the feature points, and the feature point distance.

Step S18: The comparison module 150 compares whether the feature value of the authentication fingerprint feature point matches the feature value of the user's original fingerprint feature point in the memory 12.

In step S19, when the feature value of the authentication fingerprint feature point matches the feature value of the original fingerprint feature point of the user in the memory 12, the authentication module 160 authenticates, allows the user to enter the handheld mobile electronic device 1, and ends. Process.

In step S18, when the feature value of the authentication fingerprint feature point does not match the feature value of the original fingerprint feature point of the user in the memory 12, the authentication fails, the user is not allowed to enter the handheld mobile electronic device 1, and returns The user's authentication fingerprint image is re-scanned to step S15.

S11‧‧‧ scan the original fingerprint of each user and obtain the corresponding original fingerprint image

S12‧‧‧ processes the original fingerprint image of each user to obtain a negative image of the original fingerprint image

S13‧‧‧ extracts the original fingerprint feature points from the negative image of the original fingerprint image, and calculates the extracted feature values of each original fingerprint feature point

S14‧‧‧ Stores the original fingerprint feature points and the feature values of the original fingerprint feature points into the memory as the authentication code when the user enters the handheld mobile electronic device

S15‧‧‧ Scan the user's authentication fingerprint image when it is required to enter the handheld mobile electronic device through authentication

S16‧‧‧ Process the certified fingerprint image to obtain the negative image of the certified fingerprint image

S17‧‧‧ Extract the authentication fingerprint feature points in the negative image of the certified fingerprint image, and calculate the feature value of the extracted authentication fingerprint feature points

S18‧‧‧ Aligns whether the eigenvalue of the authentication fingerprint feature point matches the eigenvalue of the user's original fingerprint feature point in the memory

S19‧‧‧ allows the user to enter the handheld mobile electronic device

Claims (10)

A handheld mobile electronic device identity authentication system, wherein the handheld mobile electronic device comprises a fingerprint scanning device and a memory, wherein the memory body stores characteristic values of original fingerprint feature points of each user, and the handheld mobile electronic device The device further includes: a fingerprint scanning module, configured to enable the fingerprint scanning device to scan a user's authentication fingerprint and obtain a corresponding authentication fingerprint image; and a processing module configured to process the authentication fingerprint image to obtain a negative image of the fingerprint image; a fingerprint feature extraction module, configured to extract an authentication fingerprint feature point in the negative image of the authentication fingerprint image, and calculate a feature value of the extracted authentication fingerprint feature point, the authentication The feature value of the fingerprint feature point includes a shape of the feature point, and the shape of the feature point is a graphic obtained by connecting each of the authentication fingerprint feature points to the closest authentication fingerprint feature point; the comparison module is configured to compare Whether the feature value of the authentication fingerprint feature point matches the feature value of the user's original fingerprint feature point in the memory; and the authentication module, When the feature value in the memory with the authentication fingerprint feature point feature points of the original fingerprint feature values match the user, authenticated, the user is allowed to enter the handheld electronic device. The handheld mobile electronic device identity authentication system of claim 1, wherein the handheld mobile electronic device further comprises a storage module, wherein: the fingerprint scanning module is further configured to scan the fingerprint scanning device The original fingerprint of each user and the corresponding original fingerprint image; the processing module is further configured to process the original fingerprint image of each user to obtain a negative image of the original fingerprint image; The fingerprint feature extraction module is further configured to extract an original fingerprint feature point in the negative image of the original fingerprint image, and calculate feature values of the extracted original fingerprint feature points; and the storage model And a group, configured to store the extracted original fingerprint feature points and the calculated feature values of each of the original fingerprint feature points into the memory as an authentication code when each user enters the handheld mobile electronic device. The handheld mobile electronic device identity authentication system of claim 1, wherein the fingerprint scanning device comprises a glass platform, a lens and an illumination lamp, wherein: the glass platform is located at a top end of the fingerprint scanning device, and is used for Having a user place a finger on the glass platform for fingerprint scanning; the lens is directly opposite the glass platform for scanning a fingerprint of a user's finger placed on the glass platform to obtain a fingerprint image; The illuminating lamp is used for illuminating the glass platform to enable the lens to scan the fingerprint of the user clearly. For example, in the handheld mobile electronic device identity authentication system described in claim 3, the two illumination lamps are respectively disposed at two ends of the glass platform or respectively disposed at two ends of the lens, facing the glass platform. The handheld mobile electronic device identity authentication system of claim 1, wherein the original fingerprint feature point comprises a fingerprint main feature point and a fingerprint auxiliary feature point, wherein the fingerprint main feature point comprises a loop shape pattern and a triangle. The shape of the pattern, the fingerprint auxiliary feature points, including the fingerprint break point and the fingerprint branch point. The handheld mobile electronic device identity authentication system according to claim 1, wherein the processing module performs processing on the fingerprint image, including: adjusting brightness and contrast of the fingerprint image; and adjusting brightness and contrast The fingerprint image is changed from color to black and white; the color gradation of the black and white fingerprint image is adjusted; and the gradation adjusted fingerprint image is converted into a negative image. The handheld mobile electronic device identity authentication system described in claim 1 of the patent scope, the original The feature value of the initial fingerprint feature point and the feature value of the authentication fingerprint feature point include the number of feature points, the feature point coordinates, the shape of the feature points, and the feature point distance. A handheld mobile electronic device identity authentication method, the handheld mobile electronic device comprising a fingerprint scanning device and a memory, the method comprising the steps of: storing feature values of original fingerprint feature points of each user of the handheld mobile electronic device to a memory Scanning the user's authentication fingerprint by the fingerprint scanning device, and acquiring the corresponding authentication fingerprint image; processing the scanned authentication fingerprint image to obtain a negative image of the authentication fingerprint image; Extracting an authentication fingerprint feature point in the negative image of the authentication fingerprint image, and calculating a feature value of the extracted authentication fingerprint feature point, wherein the feature value of the authentication fingerprint feature point includes a shape of the feature point, and the shape of the feature point is a figure obtained by connecting each authentication fingerprint feature point to the closest authentication fingerprint feature point; comparing whether the feature value of the authentication fingerprint feature point matches the feature value of the user's original fingerprint feature point in the memory; and When the feature value of the authentication fingerprint feature point is compared with the feature value of the user's original fingerprint feature point in the memory When, through the certification, allowing the user to enter the handheld device. The method for authenticating the handheld mobile electronic device according to claim 8, wherein the step of storing the feature values of the original fingerprint feature points of each user into the memory comprises: scanning each by the fingerprint scanning device The original fingerprint of the user, and obtain the corresponding original fingerprint image; processing the original fingerprint image of each scanned user to obtain a negative image of the original fingerprint image; and a negative image of the original fingerprint image Extracting original fingerprint feature points, and calculating feature values of the extracted original fingerprint feature points; and The extracted original fingerprint feature points and the calculated feature values of the original fingerprint feature points are stored in the memory as an authentication code when each user enters the handheld mobile electronic device. The method for authenticating a mobile electronic device according to claim 8, wherein the feature value of the original fingerprint feature point and the feature value of the authentication fingerprint feature point include the number of feature points, feature point coordinates, and shape of the feature point. And feature point distance.