Biometric access control and time and attendance network including configurable system-on-chip (CSOC) processors with embedded programmable logic

• US 7,424,618 B2
• Filed: 03/14/2002
• Issued: 09/09/2008
• Est. Priority Date: 03/14/2001
• Status: Active Grant

• Current Assignee: Profile Solutions, Inc.
• Original Assignee: Paladin Electronic Services Incorporated
• Inventors: Sadlon, John C., Roy, Ronald B.
• Primary Examiner(s): Sheikh; Ayaz
• Assistant Examiner(s): CHEN, SHIN HON
• Application Number:
  US10/097,704
• Publication Number:
  US 20020133725A1
• Time in Patent Office: 2,371 Days
• Field of Search: 713/186, 382/124, 382/118, 382/115, 382/126, 382/125, 340/5.8, 340/5.82, 705/5
• US Class Current: 713/186
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06V 40/12 Fingerprints or palmprints
• CPC Class Codes: G07C 1/10 together with the recording, indicating or registering of other data, e.g. of signs of identity
• CPC Class Codes: G07C 9/27 with central registration
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

A biometric access control and time and attendance system comprises an integrated network including one or more remote access devices in electronic communication with a computer database. Each remote access device comprises a silicon chip based system and preferably includes a biometric input device, a liquid crystal display (LCD), computer processing capabilities based on embedded system architecture with configurable system-on-chip (CSOC) technology, and an electrical output for controlling a door lock or the like. The use of CSOC architecture in lieu of conventional personal computer technology (e.g. mother boards, hard drives, video controllers and the like) allows for a more compact and cost efficient design. A plurality of remote access devices is configured for communication with a primary computer database wherein data corresponding to biometric samples for all authorized users is stored. In an embodiment wherein the biometric input devices comprise fingerprint scanners, the devices are configured to facilitate fingerprint identification by incorporating an auto-targeting capability that enables the user to simply place his or her finger on the fingerprint scanner whereafter the system adjusts the scanned image by automatically shifting the scanned image data to a properly targeted position thereby enabling the system compare the scanned print to the biometric samples in the system'"'"'s data storage memory. Auto-targeting capability eliminates the requirement for manual targeting present in systems of the background art thereby improving system performance and minimizing reliance on human interaction. The present invention contemplates the use of auto-targeting with other biometric systems, such as facial recognition and/or retinal scanning systems, or any other biometric identification technology.

Claims

1. A method of biometric identification using fingerprints comprising the steps of:

obtaining a digital biometric fingerprint registration sample from each of a plurality of users by manually positioning each user'"'"'s fingerprint to a core centered position within a scanning window on a fingerprint scanner, scanning the user'"'"'s fingerprint, and generating a registration sample data model for each fingerprint, said registration sample data model including data relating to areas disposed in 360 degree surrounding relation with the core;

storing said digital biometric fingerprint registration models on a computer database;

subsequently obtaining a digital look-up biometric sample from a user without requiring that the user'"'"'s fingerprint be centered on the fingerprint scanner such that the user'"'"'s fingerprint core may be positionally offset and disposed at any angular position on the fingerprint scanner;

automatically eliminating portions of said look-up biometric sample in 360 degree surrounding relation with the core of said look-up biometric sample that would not have been captured during the registration process with the user'"'"'s fingerprint core centered on the fingerprint scanner;

generating a look-up sample data model from said look-up biometric sample, said look-up biometric sample not including data corresponding to eliminated portions;

comparing said look-up sample data model with all of said registration data models and verifying whether said look-up sample data model matches one of said registration data models.

2. A method of biometric identification according to claim 1, wherein said automatically eliminating portions of said look-up biometric sample in 360 degree surrounding relation with the core of said look-up biometric sample that would not have been captured during the registration process includes:

(a) identifying the core center of said look-up biometric sample; and

(b) eliminating those portions of said look-up biometric sample that would have fallen outside said scanning window with the fingerprint in said core centered position.