KR20010088055A - Personal identification device and method thereof - Google Patents

Abstract

PURPOSE: A device and method for certifying a user is provided to reduce a mal-certification by using a voice certification and a face certification mixedly. CONSTITUTION: An input unit(10) comprises a mike(102), a camera(104), and a USB hub(108). A control unit(12) comprises a voice certifying unit(12a), a face certifying unit(12b), and a judging unit(13). The voice certifying unit(12a) comprises a voice detecting unit(124), a voice certifying unit(128), and a speaker detecting unit(130). The face certifying unit(12b) comprises a face detecting unit(126) and a face certifying unit(132). The output terminal of the control unit(12) is connected to an entrance and exit restricting member as a sliding door(14) being opened and closed in accordance with a result of a permission or non-permission.

Description

User identification device and method

The present invention relates to a user authentication device and a method thereof, and more particularly, to a user authentication device and a method using a biometrics (Biometrics) technology.

Conventionally, a user authentication method using a key, a card key, a password, and the like has been used. However, a user authentication method using a key or a card key is inconvenient because it must carry a tool necessary for authentication, and a user authentication method using a password has a problem of a risk of leaking a password.

In order to solve this problem, a biometric authentication method using biometrics such as voice recognition, face recognition, fingerprint recognition, iris recognition, and blood vessel recognition has emerged. The biometric authentication method using voice recognition or face recognition has a relatively simple structure, but there is a problem that an error may occur in authentication. The biometric authentication method using fingerprint recognition, iris recognition, and vascular recognition has a relatively low error in authentication. Although small, there is a problem that the structure of the device is very complicated, there is an inconvenience that the user to be authenticated should contact the authentication device.

SUMMARY OF THE INVENTION The present invention has been made in an effort to provide a user authentication device having a simple structure and low error in authentication.

Another object of the present invention is to provide a user authentication method performed in the user authentication device.

1 is a block diagram showing the structure of a user authentication device according to an embodiment of the present invention.

2 is a flowchart illustrating a user authentication method according to an embodiment of the present invention performed in the user authentication apparatus of FIG. 1.

In order to achieve the above object, the user authentication device according to the present invention comprises a reliability verification unit for outputting a plurality of different types of reliability data indicating the degree of trust by verifying whether or not to be trusted as an authenticated user; And a determination unit for determining user authentication with reference to the plurality of types of reliability data.

The reliability verification unit may further include: a voice authentication unit configured to output first reliability data indicating a reliability for determining a voice recognized using voice recognition as a voice of an authenticated user; And a face authenticator configured to output second reliability data indicating a reliability for determining a face recognized using face recognition as a face of an authenticated user, wherein the determiner comprises: a second output from the voice authenticator; And a determination unit configured to determine user authentication by referring to the first reliability data and the second reliability data output from the face authenticator.

The voice verification unit and the face verification unit preferably receive voice data to be verified through a universal serial bus (USB) bus.

In addition, the user authentication method according to the present invention for achieving the above another object comprises the steps of: (a) obtaining a plurality of different types of reliability information indicating the degree of trust by verifying whether the user can be trusted; And (b) determining user authentication with reference to the plurality of types of reliability information.

In addition, step (a) may include: obtaining first reliability information indicating a reliability that may determine the recognized voice as a voice of an authenticated user using voice recognition; And obtaining second reliability information indicating a reliability that can determine the recognized face as a face of an authenticated user using face recognition, wherein step (b) comprises: obtaining the second reliability information obtained in step (a). And determining user authentication with reference to the first reliability information and the second reliability information.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a structure of a user authentication device according to an exemplary embodiment of the present invention. In addition, FIG. 2 is a flowchart illustrating a user authentication method according to the present invention performed by the user authentication apparatus. 2 is often referenced below.

Referring to FIG. 1, an apparatus for authenticating a user according to an exemplary embodiment of the present invention includes an input unit 10 and a control unit 12. The input unit 10 includes a microphone 102, a camera 104, and a USB hub 108. The control unit 12 includes a voice authentication unit 12a, a face authentication unit 12b, and a determination unit 13. The voice authenticator 12a includes a voice detector 124, a voice recognizer 128, and a speaker verifier 130. The face authenticator 12b includes a face detector 126 and a face verifier 132. An access restriction member such as a sliding door 14 that is opened and closed in accordance with a permission and a disapproval result is connected to an output end of the control unit 12.

The operation of the user authentication device configured as described above will be described.

The person who wants to be authenticated inputs his / her ID by voice through the microphone 102 at a predetermined suitable position, and this voice signal is input to the USB device, that is, the USB hub 108 through the USB line 106. At this time, the person to be authenticated, that is, the position where the user inputs the voice through the microphone 102 may properly input the voice into the microphone 102, and the camera 104 may properly input the face image of the user. For example, it is a location where the front face of the user can be photographed. At the same time, the camera 104 captures and digitizes the face image of the person requesting authentication, and outputs the digitized face data to the USB hub 108 through the USB line 106. Accordingly, the USB hub 108 performs switching and power scaling on the voice data and the face data, and outputs the voice data VOICE_DATA and the face data FACE_DATA to the voice detector 124 and the face detector 126, respectively. .

The voice detector 124 detects the voice signal VOICE_DET1 corresponding to the section of the voice ID from the voice data VOICE_DATA input through the USB bus 122 and converts the detected voice signal VOICE_DET1 into the voice recognition unit ( 128). At this time, the voice signal VOICE_DET1 corresponding to the section of the voice ID can be detected by selecting a time from the moment when the voice is input to the moment when there is no voice input for 2 seconds or more. If the user's pronunciation is not finished within 10 seconds, the subsequent authentication process is canceled and user authentication is not allowed.

The voice recognition unit 128 extracts an ID from the detected voice signal VOICE_DET1 and provides ID data (ID_DATA) indicating the ID to the speaker verification unit 130 and the face verification unit 132. The ID data ID_DATA provided to 130 is represented by the detected voice signal VOICE_DET2 as shown in FIG. 1, which is the same data as the ID data ID_DATA. In addition, the voice recognition unit 128 may use a known HMM (Hidden Markov Model) word model and a 26th Mel-Frequency Cepstral Coefficient (MFCC) feature for ID extraction and voice recognition. Alternatively, it is more preferable to use the speech recognition device disclosed in Korean Patent Application No. 97-4760, filed by the present applicant and incorporated herein by reference, as a speech recognition unit. The speech recognition apparatus disclosed in the patent document includes an analog / digital converter for converting a noisy analog signal into a noisy digital signal, and converts the noisy digital signal into a voice section including a voice signal and a non-voice section without a voice signal. A voice classifier for classifying, a noise estimator for estimating a noise signal by a digital signal of a recent non-voice section among the non-segmented segments classified by the voice classifier, and an input speech feature is extracted from the digital signal of the speech segmented in the speech classifier. The feature of the feature extractor and the predetermined reference pattern generated in the noise-free environment are extracted from the noise pattern estimated by the noise estimator, and the feature of the reference pattern is extracted from the feature extractor. Including an output pattern matcher, speech recognition rate in an environment with high noise level is improved.

The speaker verification unit 130 verifies whether the voice of the person requesting authentication matches with the voice of the person having the extracted ID by using the voice signal VOICE_DET2 corresponding to the interval of the voice ID, and performs the first reliability data REL_A. ) The first reliability data REL_A represents the reliability that can be determined as the voice of the person having the ID from which the voice of the person requesting authentication is extracted as quantified numerical data. The user can use consecutive digits as the ID. In order to use the continuous digit as the ID, it is possible to use the continuous digit model, the speaker dependent model, and the improved cohort model as the verification model. In addition, it is possible to use the 26th MFCC (Mel-Frequency Cepstral Coefficient) feature as a verification model. Alternatively, it is more preferable to use the speaker verification system using the unfixed continuous numerals disclosed in Korean Patent Application No. 99-27247 filed by the applicant as the speaker verification unit, and the contents described in the patent document are described in this specification. Is incorporated by reference. The speaker verification system using the unfixed continuous digits disclosed in the patent document includes a random number generator for generating an unfixed continuous number and an unfixed continuous number generated by the random number generator for a user. A speaker independent sequence for receiving a user's voice input for a fixed consecutive number, a feature extractor for extracting a voice feature of the voice signal received through the user interface unit, and a voice feature extracted from the feature extractor A number sound verification unit for extracting a number corresponding to a matched item by comparison with the items of the number sound model and determining whether or not it is the same as the number output through the user interface unit, and the same determination in the number sound verification unit. In this case, the voice feature extracted by the feature extractor is compared with the speaker model of the user. In other words, including a speaker verification unit that measures the similarity and determines whether or not to recognize the speaker based on the similarity, the processing speed is not only improved by using a simple sequence of numbers, but also the randomness is eliminated to eliminate the possibility of voice theft.

The face detector 126 inputs face data FACE_DATA through the USB bus 122 and detects a face signal FACE_DET corresponding to a face of a person from the face data FACE_DATA. For face detection, a human face part is detected using a response value of the Garbor filter and an M-style grid matching method, which is understood by a person skilled in the art, and a sequential multi-threshold ( It is possible to apply a shape analysis method that uses boundary tracking based on muli-threshold. This method of morphological analysis is characterized by using the position of the eye as the main information in the human face. Alternatively, it is more preferable to use the face recognition device disclosed in Korean Patent Application No. 99-55577 filed by the applicant as a face detection unit, and the contents described in the patent document are incorporated herein by reference. The face recognition apparatus disclosed in the patent document detects pixels representing a strong gray feature in an input RGB image, and determines regions having partial aggregation characteristics and texture features as eye candidate regions among the areas formed by the detected pixels. Eye position detecting means; A search template is generated by matching positions of two regions extracted from eye candidate regions, and normalized sum of probability distances to chromaticity values of pixels in a region of a search template in an RGB image, and the eye estimated by the search template. Face positioning means for determining an optimal search template among the search templates generated using the size of the horizontal edge at the position of the mouth and nose; And constructing a minimum outer rectangle using an optimal search template, and increasing a count value corresponding to the area of the smallest outer rectangle among the count values of each pixel stored in the shape memory, and decreasing the other count values while predetermined in the shape memory. Extraction position stabilization means for outputting the area where the count value is greater than the value of the speaker to the speaker position area, the eye and face position of the speaker in the image can be found accurately, quickly, and also strong in the image noise.

The face verification unit 132 matches the face of the person who has an ID corresponding to the ID data ID_DATA output from the voice recognition unit 138 by using the detected face signal FACE_DET. The second reliability data REL_B is output. The second reliability data REL_B represents a quantitative number of the reliability that the face of the person requesting authentication can determine as the face of the person having the corresponding ID. It is possible to use a face recognition method using a principal component analysis (PCA) or a face recognition method using a Gabor filter. The face recognition method using PCA recognizes a face by the composition of the whole face rather than looking at the detailed face of the face. In addition, the face recognition method using the PCA accurately aligns the face and normalizes the aligned face with respect to the front face image to be used as an input. In addition, since the face recognition method using the PCA uses real face images as inputs and constructs a new space based on these images, it is sensitive to changes in illumination and brightness due to limitations of the input images. The face recognition method using Gabor filters applies a set of two-dimensional Gabor filters having different frequencies and directions to a predetermined region of the face based on the feature points of the face, and identifies the face from the response.

The determination unit 13 determines user authentication with reference to the first reliability data REL_A output from the voice authentication unit 12a and the second reliability data REL_B output from the face verification unit. In the present embodiment, the determination unit 13 indicates that the first reliability data REL_A and the second reliability data REL_B both represent 95% or more reliability, or the first reliability data REL_A or the second reliability data REL_B. If one of?) Represents 95% or more of reliability and the other represents 70% or more of reliability, an authentication signal (ACC / REJ) of " high " However, in other cases, an "low" authentication signal (ACC / REJ) is outputted. The sliding door 14 connected to the output terminal of the control unit 12 is opened in response to the authentication signal ACC / REJ of "high". However, the sliding door 14 is not opened when the authentication signal ACC / REJ of "low" is input.

The user authentication device as described above can achieve a stable security function because it can prevent the case of false authentication by using a combination of voice recognition and face recognition. In addition, the user authentication device as described above aims for a convenient human computer interface (HCI) because a user who needs to be authenticated does not have to contact the authentication device.

A user authentication method according to an embodiment of the present invention performed in the above user authentication apparatus will be described with reference to FIG. 2. First, voice data and face data are input (step 202) to determine voice reliability and face reliability, respectively (step 204). Next, the user authentication is determined by referring to the determined face reliability and voice reliability. Preferably, the decision is made as to allow or disallow by considering the magnitudes of face reliability and voice reliability in combination. In the present embodiment, when both the voice reliability and the face reliability are 95% or more, the voice reliability is 95% or more, the face reliability is 70% or more, the face reliability is 95% or more, and the voice reliability is 70% or more, and it is Accept. Determination (step 208), otherwise, reject (Reject) determination (step 210).

According to the user authentication method as described above, it is possible to significantly reduce the likelihood of false authentication, such as the case where the user is not authorized even though the user is authenticated, or is permitted even though the user is not authenticated.

In addition, the above embodiments are for illustrative purposes and do not limit the scope of the invention as defined by the appended claims, and may be appropriately modified or modified by those skilled in the art.

As described above, the apparatus for authenticating a user according to the present invention can achieve a stable security function because there are fewer false authentications by using a combination of voice authentication and face authentication.

Claims (6)

In the device for user authentication, A reliability verification unit which verifies whether the user can be trusted as an authenticated user and outputs a plurality of different types of reliability data representing a degree of trust; And And a determination unit configured to determine user authentication with reference to the plurality of types of reliability data. The method of claim 1, The reliability verification unit, A voice authentication unit for outputting first reliability data indicating a reliability for determining a voice recognized using voice recognition as a voice of an authenticated user; And And a face authenticator configured to output second reliability data indicating a reliability for determining a face recognized using face recognition as a face of an authenticated user. The determination unit, And determine user authentication by referring to first reliability data output from the voice authentication unit and second reliability data output from the face authentication unit. The method of claim 2, The voice authentication unit, A user authentication device comprising inputting voice data to be verified through a universal serial bus (USB) bus. The method of claim 2, The face authentication unit, A user authentication device comprising receiving face data to be verified through a USB bus. In the method for user authentication, (a) verifying that the user can be trusted as an authenticated user to obtain a plurality of different types of reliability information representing a degree of trust; And (b) determining user authentication with reference to the plurality of types of reliability information. The method of claim 5, In step (a), Obtaining first reliability information indicating a reliability that can determine the recognized voice as the voice of the authenticated user using speech recognition; And Obtaining second reliability information indicative of a reliability that can determine a recognized face as a face of an authenticated user using face recognition; In step (b), And determining user authentication by referring to the first reliability information and the second reliability information obtained in the step (a).