TW201942791A - Fingerprint navigation method and electronic device comprises a fingerprint input unit and a processing unit electrically connected with the fingerprint input unit - Google Patents

Abstract

The electronic device comprises a fingerprint input unit and a processing unit electrically connected with the fingerprint input unit. The fingerprint input unit performs scanning for a predetermined time to sequentially generate N scanned images, wherein N is an integer larger than 1. Each scanned image is provided with a regional area. The processing unit sequentially obtains the i-th and the (i-1)-th scanned images in the N scanned images which are respectively served as a target scanned image and a reference scanned image corresponding to the target scanned image, wherein i is an integer of 2 to N. The processing unit is used for comparing the regional area of each target scanned image and the regional area corresponding to the reference scanned image to generate corresponding touch control behavior data. The processing unit performs a corresponding operation according to all touch control behavior data.

Description

Fingerprint navigation method and electronic device

The invention relates to a fingerprint navigation method, in particular to a fingerprint navigation method involving fingerprint recognition technology. The invention also relates to an electronic device capable of implementing the fingerprint navigation method.

In recent years, the technology of fingerprint recognition has gradually matured, and more and more smart devices, notebook computers and other electronic products are provided with fingerprint readers. In addition, some fingerprint readers further support the "Fingerprint Navigation" function. The fingerprint navigation function uses the user's finger to touch the fingerprint reader, so that the fingerprint reader can not only recognize the user's fingerprint, but also further recognize the gestures touched by the user. As a result, the fingerprint reader can Play a function similar to the touch screen, and allow users to input commands to the fingerprint reader with different gestures to operate the electronic device.

However, the existing fingerprint navigation has the disadvantage of insufficient sensitivity, so that the fingerprint navigation function still has room for improvement in fluency.

Therefore, one object of the present invention is to provide a fingerprint navigation method capable of improving the disadvantages of the prior art.

Therefore, the fingerprint navigation method of the present invention is suitable for execution by an electronic device. The electronic device includes a fingerprint input unit and a processing unit electrically connected to the fingerprint input unit. The fingerprint navigation method includes the following steps: (A) the fingerprint input unit Scan every predetermined period of time to sequentially generate N scan images, where N is an integer greater than 1, and each scan image has a local area; (B) the processing unit sequentially obtains the N N The i-th and (i-1) -th scan images in the scan image and use the i-th and (i-1) -th scan image as a target scan image and a pair of corresponding target scan images, respectively Image reference scan image, i is an integer from 2 to N, and the processing unit compares the local area of each target scan image and the local area corresponding to the reference scan image to generate a corresponding touch. Control behavior data; and (C) the processing unit performs a corresponding operation according to all of the (or other) touch behavior data.

In some embodiments of the fingerprint navigation method of the present invention, in step (A), each scanned image has a plurality of pixels arranged in a matrix with each other, and some of the pixels are respectively located in the local area as a plurality. Feature pixels that are not adjacent to each other, in step (B), the processing unit compares the feature pixels of each target scan image and the feature pixels corresponding to the reference scan image.

In some embodiments of the fingerprint navigation method of the present invention, in step (A), each feature pixel of the scanned image is located in an even-numbered row and an even-numbered column in the local area, or is located in the local area. The odd rows and odd columns, or the odd rows and even columns located in the local area, or the even rows and odd columns located in the local area.

In some embodiments of the fingerprint navigation method of the present invention, in step (A), each local area is located at the center of each scanned image.

In some embodiments of the fingerprint navigation method of the present invention, the electronic device further includes a temporary storage unit electrically connected to the processing unit and configured to store the scanned images. In step (A), when the fingerprint input unit generates the first scanned image among the N scanned images, the first scanned image is stored in the temporary storage unit, and when the fingerprint input unit When the second scanned image of the N scanned images is generated, the second scanned image is stored in the temporary storage unit, and when the fingerprint input unit generates the j-th of the N scanned images, When scanning images, the j-th scanning image is stored in the temporary storage unit and covers the (j-2) -th scanning image, where j is an integer from 3 to N. In step (B), the processing unit obtains the target scan image and the reference scan image from the temporary storage unit.

In some implementation aspects of the fingerprint navigation method of the present invention, in step (A), each scanned image has at least one characteristic part located in the local area. In step (B), the processing unit is based on the The relative position between the at least one characteristic part of the target scan image and the at least one characteristic part of the reference scan image generates the touch behavior data.

Another object of the present invention is to provide an electronic device capable of implementing the fingerprint navigation method of the present invention.

The electronic device of the present invention includes a fingerprint input unit and a processing unit electrically connected to the fingerprint input unit. The fingerprint input unit scans at predetermined intervals to sequentially generate N scan images, where N is an integer greater than 1, and each scan image has a local area. The processing unit sequentially obtains the ith and (i-1) th scan images among the N scan images and uses the ith and (i-1) th scan images as one respectively The target scan image and a pair of reference scan images corresponding to the target scan image, i is an integer from 2 to N, and the processing unit compares the local area of each target scan image and the corresponding reference scan image To generate a corresponding touch behavior data. The processing unit performs a corresponding operation according to all the touch behavior data.

In some embodiments of the electronic device of the present invention, each scanned image has a plurality of pixels arranged in a matrix with each other, and some of the pixels are respectively a plurality of features located in the local area and not adjacent to each other. Pixels, the processing unit compares the feature pixels of each target scan image and the feature pixels corresponding to the reference scan image to generate the corresponding touch behavior data of the pen.

In some embodiments of the electronic device of the present invention, each feature pixel of the scanned image is located in even-numbered rows and even-numbered columns in the local area, or odd-numbered rows and odd-numbered columns in the local area, Either the odd-numbered rows and the even-numbered columns located in the local area, or the even-numbered rows and the odd-numbered columns located in the local area.

In some embodiments of the electronic device of the present invention, each local area is located at the center of each scanned image.

In some embodiments of the electronic device of the present invention, the electronic device further includes a temporary storage unit electrically connected to the processing unit and used to store the scanned images, wherein when the fingerprint input unit generates the N scans When the first scanned image in the image is stored, the first scanned image is stored in the temporary storage unit. When the fingerprint input unit generates the second scanned image of the N scanned images, The second scanned image is stored in the temporary storage unit. When the fingerprint input unit generates the jth scanned image of the N scanned images, the jth scanned image is stored in the temporary storage unit. A storage unit and covering the (j-2) -th scan image, j is an integer from 3 to N, and the processing unit obtains the target scan image and the reference scan image from the temporary storage unit.

In some embodiments of the electronic device of the present invention, each scanned image has at least one characteristic part located in the local area, and the processing unit is based on the at least one characteristic part of the target scanned image and the reference scan. The relative position between the at least one characteristic part of the image generates the touch behavior data.

The effect of the present invention is that, by implementing the fingerprint navigation method, the electronic device can quickly complete the comparison between the target scan image and the reference scan image in a short time, and generate corresponding touch behavior data, Therefore, the present invention effectively improves the reporting rate of fingerprint navigation, and effectively solves the disadvantage of insufficient smoothness of fingerprint navigation in the prior art.

Referring to FIG. 1, an embodiment of the electronic device 1 of the present invention may be implemented as, for example, a smart phone, a tablet computer, or a notebook computer, but is not limited thereto. The electronic device 1 includes a fingerprint input unit 11, a temporary storage unit 12 electrically connected to the fingerprint input unit 11, and a processing unit 13 electrically connected to the fingerprint input unit 11 and the temporary storage unit 12.

The fingerprint input unit 11 is implemented as, for example, a capacitive fingerprint sensor, and is used for a user to operate by means of finger pressing or touch, and the processing unit 13 can be input by the fingerprint, for example. Changes in the charge, temperature, and pressure on the surface of the unit 11 detect whether the fingerprint input unit 11 is operated. When the processing unit 13 detects that the fingerprint input unit 11 is operated, the fingerprint input unit 11 is scanned by the processing unit 13 at a predetermined period of time (for example, 0.5 ms, but not limited thereto) to scan according to N scan images are sequentially generated, where N is an integer greater than 1. The fingerprint input unit 11 stores the latest scanned image to the temporary storage unit 12 each time it generates one of the latest scanned images.

Here, the scanned images will be described first. With reference to FIG. 2, an exemplary scanned image 5 is taken as an example. The scanned image 5 has, for example, 160 × 160 pixels arranged in a matrix. In the following, a two-dimensional rectangular coordinate system is used for description, and the pixel in the lower left corner of the scanned image 5 is defined as an origin, and its coordinates are represented as (0,0). A local area 51 of the scanned image 5 is located in the center of the scanned image 5 and the coordinates of the pixels are (60, 60), (100, 60), (60, 100), (100, 100). Four of the pixels are rectangular closed areas formed by vertices, but not limited to this. With reference to FIG. 3, it is worth noting that some of these pixels are respectively regarded as a plurality of characteristic pixels 52 (indicated by solid circles in FIG. 3). The characteristic pixels 52 are all located in the local area 51 and are not related to each other. Adjacent (that is, not all pixels in the local area 51 are feature pixels 52), and the feature pixels 52 collectively constitute a feature image, and the feature image presents a feature of the scanned image. Or multiple feature parts (not shown), each feature part may be, for example, an end point, a bifurcation point, an isolated point (short line) or a combination of fingerprint lines in the scanned image, and the processing unit 13 The (or other) characteristic part in the characteristic image can be identified by fingerprint recognition technology. Since the way of identifying the characteristic part of the fingerprint is not the focus of the present invention, and there are many conventional techniques for identifying the fingerprint feature and can be understood by ordinary knowledge persons, it will not be described here. In this embodiment, each of the characteristic pixels 52 is an even-numbered row and an even-numbered column located in the local area 51. For example, the coordinates of the pixel in the lower left corner of the local area 51 are represented as (60, 60) in FIG. 3, and are located in the first column and the first line of the local area 51. The coordinates of the feature pixel 52 in the lower-left corner of the local area 51 are (61, 61), that is, the second column and the second line in the local area 51. As such, for the purpose of this implementation, the resolution of the portion of the scanned image 5 within the local area 51 is 40 × 40, and the size of the feature image is approximately the same as the local area 51, but the resolution is It is 20 × 20, and only a quarter of the portion where the scanned image 5 is located in the local area 51 is.

The N scanned images in this embodiment are similar to the scanned image 5 shown in FIG. 2, and will not be described one by one in the following.

It is added that, in other embodiments, the characteristic pixels 52 of each scanned image are not limited to the aspect of this embodiment, but may also be, for example, the odd-numbered rows and odd-numbered rows located in the partial area 51 All pixels in the sequence, or all pixels in the odd-numbered rows and even-numbered columns in the local area 51, or all pixels in the even-numbered rows and odd-numbered columns in the local area 51. In short, as long as the characteristic pixels 52 are local pixels belonging to 51 in the local area, they belong to the implementation aspect protected by the present invention.

Whenever the fingerprint input unit 11 stores the current latest scanned image to the temporary storage unit 12, the processing unit 13 obtains the current latest scanned image among the N scanned images from the temporary storage unit 12 ( This is regarded as the i-th scanned image, where i is an integer from 2 to N) and the next newest scanned image (here, it is regarded as the (i-1) -th scanned image), and the i-th And the (i-1) th scan image are used as a target scan image and a pair of reference scan images corresponding to the target scan image, respectively. Next, the processing unit 13 compares the local area of each target scan image and the local area corresponding to the reference scan image, and generates a corresponding piece of touch behavior data according to the comparison result. More specifically, the processing unit 13 compares the feature pixels of each target scan image and the feature pixels corresponding to the reference scan image, and according to the (etc.) of each target scan image The relative position between the feature part and the (or other) feature part corresponding to the reference scan image generates the touch behavior data. In this embodiment, the touch behavior data includes, for example, a displacement amount and a displacement direction, but is not limited thereto.

When the processing unit 13 detects that the fingerprint input unit 11 is no longer operated, the processing unit 13 performs a corresponding operation according to all the touch behavior data. Specifically, the processing unit 13 first calculates a total displacement amount and a total displacement according to the quantity of all the touch behavior data and the displacement amounts and displacement directions included in all the touch behavior data. Direction and length of time subject to operation. Then, the processing unit 13 uses the total displacement amount, the total displacement direction, and the operated time length as a touch behavior result to determine the operation type of the operation performed by the user on the fingerprint input unit 11. For example, if the total displacement amount is less than a displacement amount threshold value and the operated time length is less than a time length threshold value, the processing unit 13 determines that the user's operation is a one-click operation; if the total displacement amount is Less than the displacement amount threshold and the operated time length is greater than the time length threshold, the processing unit 13 determines that the user's operation is a long-press operation; and if the total displacement amount is greater than the displacement amount threshold, the The processing unit 13 not only determines that the user's operation is a sliding operation, but also determines a sliding direction corresponding to the sliding operation based on the total displacement direction. The corresponding operation may be, for example, a conventional function of the existing smart electronic device 1, such as screen unlocking, turning on a camera, switching to a silent mode, and the like, which are not limited herein.

With reference to FIG. 4a and FIG. 4b, the following exemplarily illustrates how to implement a fingerprint navigation method in this embodiment.

First, in step S1, when the processing unit 13 detects that the fingerprint input unit 11 is operated, the fingerprint input unit 11 is scanned by the processing unit 13 to generate a first scanned image, and the first scanned image is generated. A scanned image is stored in the temporary storage unit 12. Next, step S2 is performed.

In step S2, the fingerprint input unit 11 scans again after generating the first scanned image and reaches the predetermined time to generate a second scanned image, and stores the second scanned image to the Temporary storage unit 12. Next, step S3 is performed.

In step S3, the processing unit 13 obtains the first and second scanned images from the temporary storage unit 12. Next, step S4 is performed.

In step S4, the processing unit 13 uses the second scan image as the target scan image, and uses the first scan image as the reference scan image corresponding to the target scan image. The processing unit 13. Compare the feature pixels of the target scan image and the feature pixels of the reference scan image to generate corresponding first touch behavior data. It is worth noting that because the processing unit 13 does not compare the target scan image and the reference scan image as a whole, but only compares the feature pixels of the target scan image and the reference scan image, so The processing unit 13 can quickly complete the comparison and generate the corresponding touch behavior data in a short time, and can effectively improve the report rate of the fingerprint navigation. After the processing unit 13 generates the first touch behavior data, it proceeds to step S5.

In step S5, the processing unit 13 detects whether the fingerprint input unit 11 is continuously operated. If the detection result of the processing unit 13 is YES, step S6 is performed. If the detection result of the processing unit 13 is negative, step S10 is performed.

In step S6, the fingerprint input unit 11 scans again after the second scanned image is generated and when the predetermined time is reached to generate a third scanned image, and stores the third scanned image to The temporary storage unit 12. In particular, the fingerprint input unit 11 covers the third scanned image with the first scanned image, that is, after the step is completed, only the temporary storage unit 12 stores The third scanned image and the second scanned image generated in step S2. Specifically, in this embodiment, when the fingerprint input unit 11 generates the latest j-th (j is an integer from 3 to N) scan image among the N scan images, the fingerprint input unit 11 The j-th scanned image will be stored in the temporary storage unit 12 and will cover the (j-2) th scanned image. In other words, only a maximum of two scanned images will be stored in the temporary storage unit 12 And whenever the fingerprint input unit 11 generates the current latest scanned image, the current latest scanned image will be overwritten on the older scanned image in the temporary storage unit 12, so that it can effectively save The temporary storage space required by the temporary storage unit 12. Next, step S7 is performed.

In step S7, the processing unit 13 obtains the second and third scanned images from the temporary storage unit 12. Then, step S8 is performed.

In step S8, the processing unit 13 uses the third scanned image as a new target scanned image, and uses the second scanned image as a new reference scanned image, and compares the corresponding scanned image with that in step S4. The feature pixels of the target scan image and the feature pixels of the reference scan image to generate corresponding second touch behavior data. Next, step S9 is performed.

In step S9, the processing unit 13 detects whether the fingerprint input unit 11 is continuously operated. If the detection result of the processing unit 13 is yes, the processes similar to steps S6 and S8 are continued (not shown in Fig. 4b), until the processing unit 13 detects that the fingerprint input unit 11 is not operated any more. In this case, step S10 is performed. If the detection result of the processing unit 13 is no, go directly to step S10.

In step S10, the processing unit 13 performs the corresponding operation according to all the touch behavior data.

In summary, by implementing the fingerprint navigation method, the electronic device 1 of this embodiment can quickly complete the comparison of the characteristic parts of the target scan image and the reference scan image in a short time, and generate corresponding This touch behavior data, therefore, this embodiment effectively improves the reporting rate of fingerprint navigation, and can generate more touch behavior data per unit time. In this way, even if the user quickly inputs the fingerprint The operation is performed by the unit 11, and the processing unit 13 can still correctly determine the type of operation performed by the user, which effectively solves the disadvantage of insufficient smoothness of fingerprint navigation in the prior art, and thus can indeed achieve the purpose of the present invention.

However, the above are only examples of the present invention. When the scope of implementation of the present invention cannot be limited in this way, any simple equivalent changes and modifications made in accordance with the scope of the patent application and the content of the patent specification of the present invention are still Within the scope of the invention patent.

1‧‧‧ electronic device

11‧‧‧Fingerprint input unit

12‧‧‧Temporary storage unit

13‧‧‧processing unit

5‧‧‧scan image

51‧‧‧ local area

52‧‧‧ Feature pixels

S1 ~ S10‧‧‧step

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: FIG. 1 is a block diagram of an embodiment of an electronic device of the present invention; A scanned image generated by a fingerprint input unit of this embodiment is shown; FIG. 3 is an incomplete schematic diagram, which exemplarily illustrates a part of a partial area of the scanned image, and multiple parts of the scanned image 4a and 4b are the upper half and the lower half of a flowchart, respectively, and illustrate how to implement a fingerprint navigation method in this embodiment by way of example.

Claims (12)

A fingerprint navigation method is suitable for execution by an electronic device. The electronic device includes a fingerprint input unit and a processing unit electrically connected to the fingerprint input unit. The fingerprint navigation method includes the following steps: (A) The fingerprint input unit is Scanning for a predetermined period of time to sequentially generate N scan images, where N is an integer greater than 1, and each scan image has a local area; (B) the processing unit sequentially obtains the N scan images The i-th and (i-1) -th scan images in the image and use the i-th and (i-1) -th scan images as a target scan image and a pair of corresponding target scan images The reference scan image, i is an integer from 2 to N. The processing unit compares the local area of each target scan image and the local area corresponding to the reference scan image to generate a corresponding touch behavior. Data; and (C) the processing unit performs a corresponding operation according to all the (or other) touch behavior data. The fingerprint navigation method according to claim 1, wherein in step (A), each scanned image has a plurality of pixels arranged in a matrix with each other, and some of the pixels are respectively located in the local area as a plurality. Feature pixels that are not adjacent to each other, in step (B), the processing unit compares the feature pixels of each target scan image and the feature pixels corresponding to the reference scan image. The fingerprint navigation method according to claim 2, wherein, in step (A), each feature pixel of the scanned image is located in an even-numbered row and an even-numbered column in the local area, or is located in the local area. The odd rows and odd columns, or the odd rows and even columns located in the local area, or the even rows and odd columns located in the local area. The fingerprint navigation method according to claim 2, wherein, in step (A), each partial area is located at the center of each scanned image. According to the fingerprint navigation method of claim 1, the electronic device further comprises a temporary storage unit electrically connected to the processing unit and used to store the scanned images, wherein: in step (A), when the fingerprint input unit When the first scanned image of the N scanned images is generated, the first scanned image is stored in the temporary storage unit, and when the fingerprint input unit generates the second of the N scanned images, When scanning images, the second scanning image is stored in the temporary storage unit. When the fingerprint input unit generates the jth scanning image among the N scanning images, the jth scanning image is scanned. The image is stored in the temporary storage unit and covers the (j-2) th scanned image, j is an integer from 3 to N; and in step (B), the processing unit obtains the target from the temporary storage unit The scanned image and the reference scanned image. The fingerprint navigation method according to claim 1, wherein in step (A), each scanned image has at least one characteristic part located in the local area, and in step (B), the processing unit is based on the The relative position between the at least one characteristic part of the target scan image and the at least one characteristic part of the reference scan image generates the touch behavior data. An electronic device includes: a fingerprint input unit; and a processing unit electrically connected to the fingerprint input unit; wherein the fingerprint input unit scans at predetermined intervals to sequentially generate N scanned images, where N is greater than An integer of 1 and each scanned image has a local area, the processing unit sequentially obtains the i-th and (i-1) -th scanned images of the N scanned images and sequentially And (i-1) th scan image are used as a target scan image and a pair of reference scan images corresponding to the target scan image, i is an integer from 2 to N, and the processing unit compares each target The local area of the scanned image and the local area of the reference scanned image are generated to generate a piece of corresponding touch behavior data, and the processing unit performs a corresponding operation according to all the (or other) touch behavior data. The electronic device according to claim 7, wherein each scanned image has a plurality of pixels arranged in a matrix with each other, and some of the pixels are respectively a plurality of features located in the local area and not adjacent to each other. Pixels, the processing unit compares the feature pixels of each target scan image and the feature pixels corresponding to the reference scan image to generate the corresponding touch behavior data of the pen. The electronic device according to claim 8, wherein each feature pixel of the scanned image is located in an even-numbered row and an even-numbered column in the local area, or an odd-numbered row and an odd-numbered column in the local area, Either the odd-numbered rows and the even-numbered columns located in the local area, or the even-numbered rows and the odd-numbered columns located in the local area. The electronic device according to claim 8, wherein each partial area is located at the center of each scanned image. The electronic device according to claim 7, further comprising a temporary storage unit electrically connected to the processing unit and used to store the scanned images, wherein when the fingerprint input unit generates the first of the N scanned images When a scanned image is stored, the first scanned image is stored in the temporary storage unit. When the fingerprint input unit generates a second scanned image of the N scanned images, the second scanned image is stored. The scanned image is stored in the temporary storage unit. When the fingerprint input unit generates the j-th scanned image of the N scanned images, the j-th scanned image is stored in the temporary storage unit and covers the The (j-2) -th scan image, j is an integer from 3 to N, and the processing unit obtains the target scan image and the reference scan image from the temporary storage unit. The electronic device according to claim 7, wherein each scan image has at least one feature part located in the local area, and the processing unit is based on the at least one feature part of the target scan image and the reference scan. The relative position between the at least one characteristic part of the image generates the touch behavior data.