Jeffrey J Allen

Address:

3518 Heatherbrook Dr, Arlington, TX 76001

Phone:

(817)4662435

VIN:

5TFBV54117X008555

Make:

TOYOTA

Model:

TUNDRA

Year:

2007

US Patent:

20120054099, Mar 1, 2012

Filed:

Aug 24, 2010

Appl. No.:

12/806920

Inventors:

James H. Fox - Frisco TX, US
Jeffrey B. Allen - Frisco TX, US
Christopher K. Debrecht - Plano TX, US
James W. Simms - Wylie TX, US

Assignee:

ABC COIN SORTING COUNTING SUPPLY INC. - Frisco TX

International Classification:

G06Q 40/00

US Classification:

705 43

Abstract:

A system and method enable receipt of check deposits, and other transactions, at a remote terminal such as an automated teller machine (ATM). The ATM images the checks and sends the images and associated account and transaction information to a manager server. The manager server creates a virtual deposit slip for each transaction, and batches one or more transactions for further processing at a work station. The manager server sends the batches, which may include images, transaction data, and virtual deposit slips, to a work station. A teller may view the batches, perform verification and correction activities, and scan the batches using an emulated scanner that is part of the work station software. The virtually scanned batches may be sent to an additional processing system or to a clearing center.

US Patent:

20120098750, Apr 26, 2012

Filed:

Oct 22, 2011

Appl. No.:

13/279279

Inventors:

Jeffrey David Allen - Richardson TX, US
John Joseph Howard - Dallas TX, US
Mitchell Aaron Thornton - Dallas TX, US

Assignee:

SOUTHERN METHODIST UNIVERSITY - Dallas TX

International Classification:

G06F 3/02

US Classification:

345169, 345168

Abstract:

The present invention provides a device and method for classifying a user using pattern recognition of an input device. A series of the keystroke objects are received via the user input interface. A typing signature is determined for the series of keystroke objects using the processor by analyzing the key attributes of the series of keystroke objects using a pattern recognition algorithm. The typing signature is compared to one or more user typing signatures stored in the memory using the processor. The user is classified based on whether or not the typing signature is statistically similar to one of the stored typing signatures.