Classifications

• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
  • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
  • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
  • G06V40/12—Fingerprints or palmprints
  • G06V40/1347—Preprocessing; Feature extraction
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
  • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
  • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• • G—PHYSICS
  • G06—COMPUTING; CALCULATING OR COUNTING
  • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
  • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
  • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
  • G06V40/16—Human faces, e.g. facial parts, sketches or expressions

Definitions

• Capturing fingerprints involves placing the underside of a finger on a grasping surface: - grease or perspiration covering the finger can alter the grasping;
• the invention relates to a method of identifying persons using biometric characteristics, according to which biometric characteristics of a person to be identified are entered, identification data are extracted therefrom and the identification data of the person compared to identify with reference data from a base, characterized in that an image of folds of the skin of the person to be identified is captured, the reference fold data having been previously acquired and stored in the base, and captures an image of the skin folds and performs a first recognition at by means of said image as a filtering step, before filtering reference data from the base relating to other biometric characteristics and continuing the recognition by means of these said other characteristics.
• recognition by means of skin folds offers the advantage of providing contextual information, that is to say presentable in alphanumeric form, on certain related characteristics of people. , as their size, their age, their sex, in any case more reliable than those which could be drawn from conventional biometric data (fingerprints, iris ).
• biometric data fingerprints, iris
• the invention also relates to a person identification system, comprising at least one image sensor, an image processing module of the sensor to extract contextual information and biometric characteristics from it, a reference base containing contextual information. of reference and reference biometric characteristics, a block of comparison of the extracted contextual information and of reference context information and a block of matching of the extracted biometric characteristics and of the reference biometric characteristics, the block of comparison of contextual information providing indications for filtering the reference biometric characteristics to be matched.
• the image processing module includes a block for calculating contextual information linked to related characteristics of people and as contextual information, we will choose:
• a support surface of the hand of the persons to be identified is provided, determined relative to the focal plane of the image sensor and a complementary biometric sensor, for example a fingerprint sensor, integrated into said surface. , the reference biometric characteristics of the fingerprints being previously introduced into the database.
• This version is particularly interesting in criminal identification applications.
• the pairing module can be connected to a memory card by means of a card reader equipping the system.
• the memory card then serves as a reference base for an authentication system.
• the pairing module is connected to a microphone fitted to the system.
• the reference base then contains reference voice data and the system is well suited as a doorman.
• FIG. 1 represents a diagram by functional blocks of the identification system according to the invention
• FIG. 1 is an image of the skin of the back of a hand
• FIG. 3 shows a block diagram of an authentication system implementing the method of the invention
• FIG. 4 is a functional flow diagram implementing the method of the invention
• FIG. 6 is an alternative embodiment of Figure 5, with a fingerprint sensor
• FIG. 7 is another alternative implementation of the system for capturing forehead wrinkles
• FIG. 8 is an exemplary embodiment of the system of the invention for an authentication implementation
• FIG. 9 is an alternative embodiment of the system of FIG. 8, for capturing forehead wrinkles and
• the system 1 comprises an image sensor 20, here a digital video camera delivering images, controlled by a presence detector 21. It can be an optical device composed of a light-emitting diode and a photodiode, or a pressure sensor, detecting the presence of a hand 10 of a person to be identified , on a support surface 11 of the hand allowing correct focusing.
• a presence detector 21 can be an optical device composed of a light-emitting diode and a photodiode, or a pressure sensor, detecting the presence of a hand 10 of a person to be identified , on a support surface 11 of the hand allowing correct focusing.
• the camera 20 is connected to an image processing module 30 which extracts the identification data of the images from the image sensor 20, and which is connected to a module 50 for matching the identification data from different sources, one of the sources being the sensor 20 and another, a reference base 40.
• the pairing module 50 is also connected to the base 40 and controls a module 60 for displaying the results of the identification, the latter being able to possibly order actions accordingly.
• the identification data produced by the conversion block 33 are also transmitted to a block 31 for calculating contextual information from these identification data.
• the contextual information is for example the number N of folds on each joint, the distance D separating them from the base of the nail, the transverse length L of the folds, possibly their inclination I on the longitudinal axis of the finger, or the number of B forks on the finger.
• This information is of alphanumeric type and some of it is closely related to related characteristics of the people: the size, the age, the sex, so that being in the presence of a combination of these makes it possible to exclude the possibility of being in the presence of a combination of these and consequently to filter the corresponding biometric characteristics.
• the base 40 is managed by an interface 43 connected to the pairing module
• the 50 comprises a memory 41 for reference contextual information and a memory 42 for reference biometric characteristics.
• the memories 41 and 42 have been divided into smaller memory zones 41i and 42i, which correspond, each zone of index i containing either a combination of contextual information (41i) or the reference biometric characteristics (42i), and both linked to a predetermined combination of the related characteristics mentioned above and designated by the index i. It is thus possible to select the biometric characteristics of an area 42i of the base from the recognition of the contextual information of an area 41 i of the base thanks to the index i which can serve as an indication of filtering.
• the matching module 50 comprises a matching block 52 (matcher), known to those skilled in the art, capable of searching in the base 42 for the biometric reference characteristics closest to those extracted from the recorded image. on the person to be identified, calculate the probability with which they come from the same person, and deduce the result to be displayed.
• a matching block 52 known to those skilled in the art, capable of searching in the base 42 for the biometric reference characteristics closest to those extracted from the recorded image. on the person to be identified, calculate the probability with which they come from the same person, and deduce the result to be displayed.
• the matching module 50 additionally includes a comparison block
• the blocks 51 and 52 are connected to the base 40 via the interface 43 and, at the output, to the display module 60.
• the system 2 includes all the elements of system 1 except that the base 40 is replaced by a memory card, or chip, 81 connected to the system by means of a card reader 82 containing the interface 43.
• the reader 82 additionally comprises a detector for the presence of the card which replaces the detector 21.
• the memory card contains a single zone 41i containing the contextual information of the card holder, the pairing module contains only the comparison block 51 and the processing module 30 does not need to contain the extraction block 32.
• the system 1 comprises, in a simple version, with reference to FIG. 5, a bearing surface 11 for placing the hand 10, the sensor 20 being disposed above the surface 11 for correct focusing on the back of the hand .
• a complementary fingerprint sensor 20e integrated into the support surface 11 and comprising a pressure detector so that, by pressing on the sensor fingerprints, the camera is triggered, it then captures the image when the hand is correctly positioned.
• the fingerprint identification data is attached to the skin identification data, both for the data entered and for the reference data.
• the skin identification data is attached to the skin identification data, both for the data entered and for the reference data.
• the folds of the skin of the hand one can also capture, with reference to FIG. 7, the images of the wrinkles on the forehead 12, with a system whose same references designate the same elements.
• the system 2 comprises, in a simple version, with reference to FIG. 8, a reader 82 for receiving and reading the card 81 presented by the hand 10.
• the sensor 20 is placed above the card inserted in the reader and can thus capture a picture of the back of the hand in good conditions. But we can also, with reference to Figure 9, capture an image of forehead wrinkles.
• a complementary fingerprint sensor 20e can be located on the card itself, the authentication system 2 then having the same structure as the identification system 1.
• the complementary sensor here is a 20m microphone which can be integrated into a screen 11, here transparent, protecting the camera 20 , so that by pronouncing his name in front of the microphone, a person triggers the capture of the image by the camera, the forehead being suitably positioned.
• the voice data is attached to the identification data of the forehead skin, both for the data entered and for the reference data. This voice data is for example of the type provided by a frequency analysis of the person's speech.
• the camera 20 when the camera 20 is triggered by the detector 21, it captures an image of the folds of the skin of the hand 10 or of the forehead 12 of the person to be identified.
• the image is transmitted to the conversion block 33 which converts the image into identification data of the person to be identified.
• the extraction block 32 extracts bionietric characteristics of the image and, in parallel, from these same data, during a step 101, the calculation block 31 calculates the contextual information of the image.
• the biometric characteristics extracted from the image could then, possibly in a step 105 executed by the matching block 52, be directly compared to the reference biometric characteristics of the memory 42 of the base 40. We would then proceed to display the results in a step 106 executed by the display module 60.
• the matching block should then scan all of memory 42, to compare the extracted biometric characteristics with all the reference characteristics stored in the base.
• this disadvantage is avoided thanks to the possession of contextual information and to preliminary comparison 103 and initialization 104 steps of the interface 43.
• the comparison block 51 compares the contextual information provided by the calculation block 31 with all the contextual reference information of the memory 41, and retains only the closest combinations. These combinations are stored in the areas 41i of the memory 41.
• the indices i constitute the indications for filtering the reference biometric characteristics and are stored in a memory not shown of the interface 43.
• step 104 the results of step 103 are used:
• step 106 executed by the display module 60 to refuse identification
• the index i designates a unique area 42i and, if this area contains the reference biometric characteristics of only one person, the person is identified and the signaling step 106 directly provides his authentication, the matching block 52 being short-circuited;
• Step 104 gives control of operations in step 105.
• step 105 Following the step 104, the identification is continued using only the selected biometric characteristics and the result is communicated to the display step 106.
• step 105 Unlike the execution of step 105 not following step 104, the pairing block 52 scans only a few areas 42i of the memory 42 and the time saved is considerable.

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• Engineering & Computer Science (AREA)
• Human Computer Interaction (AREA)
• Physics & Mathematics (AREA)
• General Physics & Mathematics (AREA)
• Multimedia (AREA)
• Theoretical Computer Science (AREA)
• Health & Medical Sciences (AREA)
• General Health & Medical Sciences (AREA)
• Oral & Maxillofacial Surgery (AREA)
• Computer Vision & Pattern Recognition (AREA)
• Collating Specific Patterns (AREA)
• Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

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• 2003
  • 2003-02-20 FR FR0302093A patent/FR2851673B1/fr not_active Expired - Lifetime
• 2004
  • 2004-02-19 WO PCT/FR2004/000381 patent/WO2004077200A2/fr active Application Filing
  • 2004-02-19 EP EP04712589A patent/EP1604325A2/de not_active Withdrawn
  • 2004-02-19 US US10/546,513 patent/US7583822B2/en active Active

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