JP3630976B2 - Human body verification device - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an apparatus for collating an individual with a feature point of a human body such as a fingerprint.
[0002]
[Prior art]
In order to prohibit entry of persons other than those concerned into the specified area in the building, a door that is opened and closed by an electric lock is provided at the passage or entrance to the specified area, and access to the specified area is permitted in the vicinity of this door In some cases, a fingerprint collation device is installed to determine whether or not a fingerprint is collated.
This fingerprint collation device captures a fingerprint of a predetermined finger with a fingerprint sensor, converts the shade of the screen into an electrical signal, outputs fingerprint data, collates this with pre-registered fingerprint data, It is determined whether they match or do not match.
[0003]
In this case, when a numeric keypad is installed outside the fingerprint sensor and the operator operates the numeric keypad to input an ID (personal) number, fingerprint data corresponding to the ID number is selected from pre-registered fingerprint feature point data. Are extracted and collated with actual fingerprint data input from the fingerprint sensor.
[0004]
[Problems to be solved by the invention]
Since the conventional fingerprint detection apparatus as described above inputs an ID number from a numeric keypad and inputs a fingerprint using a fingerprint sensor, it cannot be operated unless the ID number is accurately remembered. In addition, when there are a large number of fingerprint registrants, if the fingerprint data of all the members are sequentially searched, the verification time becomes long and the operability is deteriorated. There are problems such as.
[0005]
The present invention has been made to solve the above problems, and an object of the present invention is to provide a human body collation apparatus which can collate without memorizing an ID number and can improve collation performance and collation speed. And
[0006]
[Means for Solving the Problems]
The human body collation device according to the first aspect of the present invention determines that the human body is opposed to the human body feature point extraction sensor and determines that the automatic collation is performed, and performs group collation using the group key when the automatic collation is not determined. Is specified, it is determined as group verification, and when the ID number is input with the numeric keypad when the group verification is not determined, it is determined as ID verification, and the above-described determination is performed from human body feature point data registered in advance. Data to be used for any of auto collation, group collation, and ID collation is selected.
[0007]
The human body verification device according to the second invention is the one according to the first invention, wherein the human body feature point data registered in advance is managed and stored in correspondence with the group number and ID number specified at the time of registration. It is.
[0008]
The human body verification device according to the third invention is the one according to the second invention, wherein when there are a plurality of pre-registered human body feature point data, the object is searched and compared, and the pre-registered human body feature point data is obtained. In one case, the comparison is made independently.
[0009]
Also, the human body collation apparatus according to a fourth invention, in one of the first invention, to specify the time of registration of the body feature data, whether to match in any group number input and ID number input by the human body opposing detection and numeric keypad At the same time, the detected human body feature point data is registered.
[0010]
According to a fifth aspect of the present invention, there is provided the human body collating apparatus according to the first to fourth aspects of the present invention, wherein a fingerprint is used as a feature point of the human body.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Embodiment 1 FIG.
1 to 7 are diagrams showing an embodiment of the first to sixth inventions of the present invention. FIG. 1 is an overall configuration diagram, FIG. 2 is an external view, FIG. 3 is a block diagram, and FIG. FIG. 5 is a flowchart of collation operation, FIG. 6 is an explanatory diagram of a fingerprint database, and FIG. 7 is a flowchart of collation operation.
[0012]
In FIG. 1, 1 is a fingerprint sensor that constitutes a human body feature point extraction sensor, 2 is a finger placement automatic (auto) detection means that is connected to the fingerprint sensor 1 and constitutes a human body facing detection means, 3 is a numeric keypad that constitutes an input key, 4 is a group number input means using the numeric keypad 3, 5 is an ID (personal) number input means using the numeric keypad 3, 6 is a finger placement automatic detection means 2, an OR gate connected to the group number input means 4 and the ID number input means 5, Reference numeral 7 denotes collation target selection means for searching fingerprint data to be collated from the group + ID number management fingerprint data storage means 8 based on the output of the OR gate 6.
[0013]
9 is a fingerprint image capturing means for capturing input fingerprint data from the fingerprint sensor 1, 10 is a fingerprint data registering means for registering the captured fingerprint data, and 11 is a verification procedure specifying means for specifying a group number and ID number necessary for verification. , 12 is a plurality of data search / collation means for comparing the fingerprint data input from the fingerprint image capturing means 9 with the selected fingerprint data from the group + ID number management fingerprint data storage means 8 and performing automatic collation or group collation; Individual data single collating means for performing ID collation, 14 is a result display means for displaying the result of both collations, 15 is a control / log recording means for logging the control result of the target device and the collation result from the result, Thus, the fingerprint collation device 17 is configured.
[0014]
In FIG. 2, the operation unit of the fingerprint collation device 17 includes function keys including a finger placement unit 1a on which an operator places a finger, a numeric keypad 3 for inputting a group number or ID number, a group key 21a, an auto key 21b, and a mode key 21c. 21 and an indicator lamp 22 including a power lamp 22a for current operation and operation guidance, an error lamp 22b, a finger rest lamp 22c, and an OK / NG lamp 22d.
[0015]
In FIG. 3, the fingerprint sensor 1 comprises an LED light source 1b, a prism 1c, and a CCD camera 1d. 23 is an A / D converter that converts the analog image signal of the fingerprint sensor 1 into a digital image signal, 24 is a central processing unit (CPU), 25 is connected to the LED light source 1b, the numeric keypad 3, the indicator lamp 22 and the buzzer 26, An input / output device 27 that exchanges signals with the CPU 24, 27 is an input / output device connected to the CPU 24, and an output relay 28 is connected to control the electric lock 29 of the door according to the collation result. A memory 30 is connected to the CPU 24 and stores registered fingerprint data, operation log storage data, and the like. A battery 31 backs up the power of the memory 30.
[0016]
Next, the operation of this embodiment will be described with reference to FIGS.
A Operation for fingerprint registration (Figure 4)
First, in step S1, the “mode” key 21c is used to switch from normal collation to a registration mode for fingerprint registration. Enter the group number (9 groups A to I) with the numeric keypad 3 in step S2, or enter the “auto” key 21b for automatic verification in step S3, and then enter the “group” key 21a in step S4. And specify the group number. At that time, if only the individual data is collated without using the plural data collation for the operation, the process skips to the step S5 as it is.
[0017]
In step S5, an ID number (0 to 9) is input using the numeric keypad 3, and in step S6, the "input (#)" key is pressed to input the ID number. In step S7, the finger placement lamp 22c is turned on to guide the operator to place the finger on the finger placement portion 1a where the fingerprint sensor 1 is located. In step S8, the fingerprint sensor 1 captures the fingerprint data of the finger placed on the finger placement unit 1a, and registers the fingerprint data for each group number and ID number in a fingerprint database 35 (described later).
[0018]
B Operation during fingerprint verification (Figure 5)
In the normal state, it is monitored whether the fingerprint sensor 1 detects finger placement in step S11, or whether the operator inputs any one of the function key 21 and the numeric keypad 3 in step S12. When the fingerprint sensor 1 detects finger placement, the process proceeds to automatic (automatic) collation, and fingerprint data is captured in step S13. When any key is entered, the operator designates a group or ID number. That is, when the “group” key 21a is input in step S14, the group number (A to I) is input by operating the numeric keypad 3 in step S15, and the finger is placed on the finger placement unit 1a in step S16. In step S17, fingerprint data is captured.
[0019]
If the ID number is entered using the numeric keys “0” to “9” of the numeric keypad 3 in step S18, the “input (#)” key is subsequently pressed in step S19, and the finger placement unit 1a is entered in step S20. A finger is placed, and fingerprint data is captured in step S21.
The fingerprint data captured by the automatic verification or group verification is subjected to a plurality of data search verification in step S22, and the result is displayed on the OK / NG lamp 22d in step S24. In addition, the fingerprint data captured by the ID collation is individually collated in step S23, and the result is displayed in step S24.
[0020]
C Fingerprint verification operation (Figs. 6 and 7)
First, FIG. 6 shows the logical structure of the fingerprint database used in the group + ID number management fingerprint data storage means 8 of FIG.
The fingerprint database 35 is composed of three layers of group number, ID number, and fingerprint data, and each has a search key. In the case of automatic collation, the group number “0” is used for designation, and the automatic search target is also regarded as one group for group management. In addition, a plurality of ID numbers exist in one group, and the allowable number n is limited according to collation performance (speed and misrecognition).
[0021]
FIG. 7 shows a collation operation performed by the collation target selection unit 7, the plural data search / collation unit 12, and the individual data single collation unit 13.
Based on the information coming from the finger placement automatic detection means 2, the group number input means 4, the ID number input means 5 or the fingerprint image capture means 9, it is discriminated whether it is automatic verification, group verification or ID verification. First, in step S31, it is determined whether automatic verification is performed. If automatic verification is performed, fingerprint data (Din) detected in step S32 is taken in.
[0022]
If it is not automatic collation, the process proceeds to step S33 to determine whether it is group collation. If it is group collation, the process proceeds to step S34, the input group number is captured, and fingerprint data (Din) is captured in step S32. In step S35, the fingerprint data (Di) and ID number of the specified group (auto) number are all extracted using the search key of the fingerprint database 35 of FIG. If it is not group collation, that is, if it is ID collation, the process proceeds to step S36, the input ID number is captured, fingerprint data (Din) is captured in step S37, and the specified ID number is retrieved from the fingerprint database 35 in step S38. One piece of fingerprint data (Di) is extracted.
[0023]
In step S39, a plurality (n) or one of the extracted registered fingerprint data D (i) is stored in the area of the verification target table 36. In step S40, the counter i is set to 1. In step S41, it is determined whether the counter i has reached the stored number n of fingerprint data. If not, the input fingerprint data (Din) and the fingerprint in the collation target table 36 are checked in step S42. The data D (i) is sequentially compared and collated n times. If there is no match, the counter i is incremented by 1 in step S43, and the process returns to step S41. If even one match is found, OK is displayed in step S44. In step S45, the corresponding ID number is extracted, and the log is recorded in step S45.
[0024]
If the counter i reaches the stored number n in step S41, that is, if all the data are compared but there is no match, NG is displayed in step S47 and the process is terminated.
[0025]
In this way, the comparison target range of the fingerprint data registered in advance is selected from any of automatic finger placement detection, group number, and ID number. You can collate just by putting it in, making it easier to use. When there are many users, the rank collation target range is limited by the group number, and collation performance and collation speed can be improved. When high security is required, it is possible to limit the target person by ID number.
[0026]
Any one of automatic collation by finger placement, group collation by group number, and ID collation by ID number can be freely selected at the user's will, and can be automatically operated and easy to use.
[0027]
In the above embodiment, a fingerprint is used as a verification medium and a numeric keypad is used for inputting a group number and an ID number. However, the present invention is not limited to this, and a voice print, a retina pattern, a handprint, a face is not limited to this. It is possible to use a human body such as a shape or a function associated therewith, that is, discrimination based on human body feature point data. The numeric keypad may be a key having an input function.
[0028]
【The invention's effect】
As described above, according to the first aspect of the present invention, when it is detected that the human body is opposed to the human body feature point extraction sensor, it is determined to be automatic verification, and group verification is performed using the group key in a state where this automatic verification is not determined. If it is specified, it is determined as group verification. If an ID number is input with a numeric keypad in a state where this group verification is not determined, it is determined as an ID number, and the above-described automatic verification is determined from human body feature point data registered in advance. Since the data used for either group verification or ID verification is selected, even if the ID number is not remembered, the human body can be verified simply by facing the human body feature point extraction sensor, The device can be adapted to the purpose such as security.
[0029]
In the second aspect of the invention, pre-registered human body feature point data is managed and stored in correspondence with the group number and ID number specified at the time of registration. It is possible to limit the verification target range and improve the verification performance and verification speed.
[0030]
In the third invention, when there are a plurality of pre-registered human body feature point data, the object is searched and compared, and when there is one pre-registered human body feature point data, it is compared independently. Therefore, when high security is required, it is possible to provide a function of collating by limiting the target person with the ID number.
[0031]
In the fourth invention, when registering the body feature data, as well as specify whether to match in any group number input and ID number input by the human body opposing detection and numeric keys, to register the human body feature point data detected As a result, the collation procedure can be freely selected at the discretion of the collator, making it easy to use.
[0032]
In the fifth invention, since the fingerprint is used as the feature point of the human body, it is possible to configure a fingerprint collation device with excellent usability.
[Brief description of the drawings]
FIG. 1 is an overall configuration diagram showing Embodiment 1 of the present invention.
FIG. 2 is an external view showing Embodiment 1 of the present invention.
FIG. 3 is a block diagram of FIG.
FIG. 4 is a registration operation flowchart showing the first embodiment of the present invention;
FIG. 5 is a collation operation flowchart showing the first embodiment of the present invention;
FIG. 6 is an explanatory diagram of a fingerprint database according to the first embodiment of the present invention.
FIG. 7 is a collation operation flowchart showing the first embodiment of the present invention;
[Explanation of symbols]
1 human body feature point extraction sensor (fingerprint sensor), 1a finger placement unit, 2 human body facing detection means (finger placement automatic detection means), 3 input keys (ten keys), 4 group number input means, 5 ID number input means, 7 verification Object selection means, 8 group number management human body feature point (fingerprint) data storage means, 9 fingerprint image capture means, 10 human body feature point (fingerprint) data registration means, 11 collation procedure designation means, 12 multiple data search collation means, 13 Individual data single verification means, 17 human body (fingerprint) verification device, 21a group key, 21b auto key, 21c mode key, 24 CPU, 35 fingerprint database .
S2-S6 collation procedure designation means, S7, S8 human body feature point (fingerprint) data registration means, S11 human body facing (finger placement automatic) detection means, S12, S14-S17, S22 multiple data search collation means, S14, S15 group number Input means, S18, S19 ID number input means, S31 to S39 collation target selection means, S32 to S35, S39 to S43 Multiple data search collation means, S36 to S43 Individual data single collation means.

Claims (5)

A human body feature point extraction sensor for detecting human body feature point data and an artificially operated ID number used for ID verification or a group number consisting of a plurality of the ID numbers and used for group verification are specified. A numeric keypad, a group key that is manually operated to specify the group collation, a human body facing detection unit that automatically detects that the human body is opposed to the human body feature point extraction sensor, and the human body facing detection unit When the opposite of the human body is detected, it is determined as automatic verification, and when the group verification is specified by the group key in a state where the automatic verification is not determined, it is determined as group verification, and the group number specified by the numeric keypad is determined. If the ID number is input by the numeric keypad when the group is not determined, A collation target selecting means for selecting the human body feature point data to be used for any of the determined auto collation, group collation and ID collation from the previously registered human body feature point data. Human body verification device . 2. A group + ID number management human body feature point data storage means for managing and storing pre-registered human body feature point data corresponding to a group number and an ID number specified at the time of registration is provided. The human body verification device described. When the human body feature point data from the human body feature point extraction sensor and the human body feature point data from the group + ID number management fingerprint data storage unit are respectively input, and there are a plurality of pre-registered human body feature point data, the object is searched and 3. The human body collation apparatus according to claim 2, further comprising: a plurality of data search / collation means for comparison, and a single collation means for comparing them independently when the human body feature point data registered in advance is one. Time of registration of the body feature data, and collating sequence designating means for designating whether to match in any group number input and ID number input by the human body opposing detection and numeric keys, the body feature point detected by the human body feature point extracting sensor 2. The human body verification device according to claim 1, further comprising human body feature point data registration means for registering data. The human body verification device according to claim 1, wherein a fingerprint is used as a characteristic point of the human body.

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