IP Library Granted Patent US 8,391,602
Granted Patent B2
US 8,391,602 · App. 12/756,612 · Granted Mar 5, 2013

Character recognition

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Quick Facts
Patent No.
US 8,391,602
App. No.
12/756,612
Granted
Mar 5, 2013
Kind
B2
Abstract

Systems and methods for character recognition by performing lateral view-based analysis on the character data and generating a feature vector based on the lateral view-based analysis.

Claims (25)

1. A non-transitory computer readable medium storing executable instructions that, when executed, cause one or more processors to perform operations comprising:

acquiring character data comprising one or more characters, the one or more characters having a first contour and a second contour;

performing lateral view analysis on the character data;

generating a feature vector based on the lateral view analysis; and

identifying the one or more characters.

2. The computer-readable medium of claim 1 , wherein the performing the lateral view analysis comprises:

selecting a number of characteristic points;

dividing the one or more characters into a number of horizontal segments, the number of segments equal to the number of characteristic points; and

locating characteristic points on the first and second contours, wherein a characteristic point is located in each segment on both the first and second contours.

3. The computer-readable medium of claim 2 , wherein an origin is located at a lower left of the one or more characters and wherein the characteristic points on the first contour are located at a minimum distance from a vertical axis rising from the origin and the characteristic points on the second contour are located at a maximum distance from the vertical axis.

4. The computer-readable medium of claim 2 , wherein the horizontal segments have the same height.

5. The computer-readable medium of claim 1 , further comprising binarizing the character data.

6. The computer-readable medium of claim 1 , further comprising removing noise from the character data.

7. The computer-readable medium of claim 1 , further comprising performing oblique/skew detection.

8. The computer-readable medium of claim 1 , further comprising segmenting the character data into individual characters, the character data comprising a plurality of characters.

9. The computer-readable medium of claim 1 , wherein the contour data is not thinned.

10. The computer-readable medium of claim 1 , wherein the identifying the one or more characters comprises using an artificial neural network.

11. The computer-readable medium of claim 1 , further comprising recognizing cursive characters.

12. The computer-readable medium of claim 1 , wherein the operations are substantially font invariant.

13. The computer-readable medium of claim 1 , further comprising identifying characters in fonts having variable character widths.

14. The computer-readable medium of claim 1 , wherein the feature vector comprises:

the minimum distance of the characteristic points on the first contour;

the maximum distances of the characteristic points on the second contour;

the width of the character; and

the height of the character.

Assignments (4)
RELEASE OF SECURITY INTEREST IN PATENTS, RECORDED ON JANUARY 29, 2019 AT REEL 048373 FRAME 0217 Recorded Sep 22, 2025
From: CRESTLINE DIRECT FINANCE, L.P., AS COLLATERAL AGENT
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 072936/0464 →
RELEASE OF SECURITY INTEREST Recorded Jul 31, 2019
From: CRESTLINE DIRECT FINANCE, L.P.
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 049924/0794 →
SECURITY INTEREST Recorded Jan 29, 2019
From: EMPIRE TECHNOLOGY DEVELOPMENT LLC
To: CRESTLINE DIRECT FINANCE, L.P.
Reel/Frame 048373/0217 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 8, 2010
From: CHAKI, NABENDU; SHAIKH, SOHARAB HOSSAIN
To: UNIVERSITY OF CALCUTTA
Reel/Frame 024206/0863 →