SYSTEMS AND ALGORITHMS FOR CLASSIFICATION OF USER BASED ON THEIR PERSONAL FEATURES

• US 20140125455A1
• Filed: 01/14/2014
• Published: 05/08/2014
• Est. Priority Date: 09/01/2005
• Status: Abandoned Application

• Current Assignee: Memphis Technologies Incorporated
• Original Assignee: Memphis Technologies Incorporated
• Inventors: Menczel, Yaron, Shachar, Yair
• Application Number:
  US14/154,594
• Publication Number:
  US 20140125455A1
• Time in Patent Office: Days
• US Class Current: 340/5.81
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints

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 qualifying a user comprising:

receiving a personal details record of said user;

extracting at least one personal feature out of said personal details record;

based on said at least one personal feature, extracting at least one qualification data item from at least one public domain Internet site, by matching said at least one feature in at least one public domain Internet site to said at least one personal feature; and

using said at least one qualification data item to create an estimation of at least one of;

(a) user financial wealth or

(b) user personal employment potential.

2. The method of claim 1, wherein said at least one personal feature comprising at least one of:

(a) user address,

(b) user name,

(c) user picture,

(d) user age, or

(e) user gender.

3. The method of claim 1, wherein said at least one qualification data item comprising at least one of:

(a) the value of the house in which the user resides,

(b) the potential rent of the house in which the user resides,

(c) the schools level of the neighborhood the user resides,

(d) the user education level,

(e) the number of connections the user has, or

(f) the work history of the user.

4. The method of claim 1, further comprising an estimation of at least one computed data item based on a statistical combination of one or more of the qualification data items.

5. The method of claim 4, wherein said at least one computed data item is

(1) estimation of user financial value,

(2) estimation of user monthly and annual salary,

(3) estimation of the socio-economic level of the user, or

(4) estimation of the user personal employment potential.

6. The method of claim 4, further comprising classifying the user to a class based on a threshold table and using at least one of computed data items where each class has a minimum threshold per each computed data item, and in order to belong to a class the computed items of the user must be above those minimum thresholds for those said computed data items.