Systems and algorithms for stateless biometric recognition

• US 8,122,259 B2
• Filed: 09/01/2005
• Issued: 02/21/2012
• Est. Priority Date: 09/01/2005
• Status: Active Grant

• Current Assignee: Memphis Technologies Incorporated
• Original Assignee: Bricom Technologies Ltd.
• Inventors: Shachar, Yair, Brikman, Yossi, Menczel, Yaron
• Primary Examiner(s): Arani, Taghi
• Assistant Examiner(s): Jeudy, Josnel
• Application Number:
  US11/216,022
• Publication Number:
  US 20070050636A1
• Time in Patent Office: 2,364 Days
• Field of Search: 713182-186, 340 58- 584, 340/5.52, 382/124, 382115-119, 726/16, 726/17, 726/18, 726/28
• US Class Current: 713/186
• CPC Class Codes: G05B 1/03 for comparing digital signals
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

A system and algorithms to authenticate a person where a system only has some standard personal text data about the person, and cannot have a real biometric template obtained using an enrollment procedure. The authentication allows access to restricted resources by the person. This method is especially useful when it is used as an auxiliary authentication service with other methods such as password or Callback that dramatically lower the chances for an imposter.

Claims

1. A method for authenticating a user comprising:

receiving a biometric input from said user;

extracting at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood;

comparing said at least one biometric-based parameter to a corresponding known user parameter of said user, wherein said known user parameter does not contain a biometric template, said biometric template is a biometric signature of said user; and

authenticating said user based on said comparison.

2. The method of claim 1 wherein extracting said at least one biometric-based parameter results in a probability function, said probability function to define the estimated probabilities of said biometric-based parameter to match a set of ranges of values.

3. A method for qualifying a user comprising:

receiving a biometric input from said user;

extracting at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood; and

computing a qualification level indicating the ability of said user to access at least one restricted resource, wherein said qualification level is based on valuating said at least one biometric-based parameter in relation to a predefined set of rules, said valuating does not include matching said at least one biometric-based parameter to a previously acquired biometric template, said biometric template is a biometric signature of said user.

11. The method of claim 3 wherein extracting said at least one biometric-based parameter results in a probability function, said probability function defines the estimated probability of said biometric-based parameter to match a set of ranges of values.

4. A system for authenticating a user comprising:

at least one data terminal to receive biometric input of said user;

at least one extraction unit to extract at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood;

a storage unit to store at least one personal details record having at least one known user parameter;

at least one authentication unit to authenticate said user based on comparison of said at least one extracted biometric-based parameter to a corresponding known user parameter in said personal details record, wherein said known user parameter does not contain a biometric template, said biometric template is a biometric signature of said user; and

an access control management unit to control the access of said user to at least one restricted resource based on the result of said authentication unit.

5. The system of claim 4 wherein extraction of said at least one biometric-based parameter results in a probability function, said probability function to define the estimated probability of said biometric-based parameter to match a set of ranges of values.

6. A system for qualifying a user comprising;

at least one data terminal to receive biometric input of said user;

at least one extraction unit to extract at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood;

a user qualification unit to compute a qualification level indicating the ability of said user to access at least one restricted resource, wherein said qualification level is based on valuating said at least one biometric-based parameter in relation to a predefined set of rules, said valuating does not include matching said at least one biometric-based parameter to a previously acquired biometric template, said biometric template is a biometric signature of said user; and

an access control management unit to control the access of said user to at least one restricted resource based on said qualification level.

12. The system of claim 6 wherein extraction of said at least one biometric-based parameter results in a probability function, said probability function defines the estimated probability of said biometric-based parameter to match a set of ranges of values.

7. An article comprising a nontransitory computer-storage readable medium having stored thereon instructions that, when executed by a processing platform, result in:

receiving a biometric input from said user;

extracting at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood;

comparing said at least one biometric-based parameter to a corresponding known user parameter of said user, wherein said known user parameter does not contain a biometric template, said biometric template is a biometric signature of said user; and

authenticating said user based on said comparison.

8. The article of claim 7, wherein when executing said instructions said step of extracting results in a probability function which defines the estimated probability of said biometric-based parameter to match a set of ranges of values.

9. An article comprising a nontransitory computer-storage readable medium having stored thereon instructions that, when executed by a processing platform, result in:

receiving a biometric input from a user;

extracting at least one biometric-based parameter from said biometric input, wherein said biometric-based parameter is selectable from a list comprising;

age, gender, ethnical or geographical origin, pronunciation, emotional state of the user, credibility level and level of alcohol in blood;

computing a qualification level indicating the ability of said user to access at least one restricted resource, wherein said qualification level is based on valuating said at least one biometric-based parameter in relation to a predefined set of rules, said valuating does not include matching said at least one biometric-based parameter to a previously acquired biometric template, said biometric template is a biometric signature of said user.

10. The article of claim 9, wherein when executing said instructions said step of extracting results in a probability function which defines the estimated probability of said biometric-based parameter to match a set of ranges of values.