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Nicholas G Bethmann

from Boca Raton, FL
Age ~61

Nicholas Bethmann Phones & Addresses

  • 726 Forsyth St, Boca Raton, FL 33487 (561) 997-6209 (561) 998-9154
  • Pembroke Pines, FL
  • Pittsburgh, PA
  • Columbia, MD
  • Doral, FL
  • 726 Forsyth St, Boca Raton, FL 33487 (561) 997-6209

Work

Position: Professional/Technical

Education

Degree: High school graduate or higher

Emails

Resumes

Resumes

Nicholas Bethmann Photo 1

Software Engineering Manager

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Location:
726 Forsyth St, Boca Raton, FL 33487
Industry:
Computer Software
Work:

Software Engineering Manager
Interests:
Boating
Kids
Cooking
Investing
Outdoors
Electronics
Home Improvement
Shooting
Crafts
Gourmet Cooking
Sports
Reading
Automobiles
Travel
Fishing
Home Decoration
Languages:
English
Nicholas Bethmann Photo 2

Nicholas Bethmann

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Location:
Boca Raton, Florida
Industry:
Computer Software

Business Records

Name / Title
Company / Classification
Phones & Addresses
Nicholas G. Bethmann
Director, Vice President
Bromeliad Society of The Palm Beaches, Inc
531 N Military Trl, West Palm Beach, FL 33415
640 Atlantis Est Way, Lake Worth, FL 33462
22690 Lemon Tree Ln, Boca Raton, FL 33428
Nicholas G. Bethmann
President, Director
Sawgrass Rifle Club, Inc
9105 W Sunrise Blvd, Fort Lauderdale, FL 33322
10825 NW 9 Ct, Fort Lauderdale, FL 33324
9740 NW 17 St, Fort Lauderdale, FL 33322
4088 Collin Dr, West Palm Beach, FL 33406

Publications

Us Patents

Apparatus And Method For Automatic Form Recognition And Pagination

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US Patent:
20020067854, Jun 6, 2002
Filed:
Dec 1, 2000
Appl. No.:
09/728538
Inventors:
Peter Reintjes - Boca Raton FL, US
Shane Mattaway - Boca Raton FL, US
Nicholas Bethmann - Boca Raton FL, US
International Classification:
G06K009/48
US Classification:
382/199000
Abstract:
A pen-based system that automatically identifies either single page or multi-page forms when data is a written on paper copies of the form. The system captures pen stroke data as an untrained user fills out the paper form attached to its surface. The sequence and location of the raw pen-stroke data is analyzed to determine which form the user was filling out and which field on each page was the intended field for the subsets of stroke data. The form/field identification method allows the electronic clipboard to be used as if it were an ordinary clipboard. One of several single or multi-page forms in the selected, and attached to the clipboard without any special attention to its positioning. The user can fill out fields in any order skipping between pages at will, leaving fields blank, etc. and having no other interaction with the clipboard.
Nicholas G Bethmann from Boca Raton, FL, age ~61 Get Report