Character recognition

1. A method comprising:

receiving, by a computing device, character data comprising one or more characters, the one or more characters having a first contour and a second contour;

performing, by the computing device, lateral view analysis on the character data;

generating, by the computing device, a feature vector based on the lateral view analysis; and

identifying, by the computing device, the one or more characters.

2. The method of claim 1 , wherein the computing device comprises a data acquisition device.

3. The method of claim 1 , further comprising binarizing, by the computing device, the character data.

4. The method of claim 1 , further comprising removing, by the computing device, noise from the character data.

5. The method of claim 1 , further comprising performing, by the computing device, oblique/skew detection.

6. The method of claim 1 , further comprising segmenting, by the computing device, the character data into individual characters.

7. The method of claim 1 , further comprising identifying, by the computing device, the one or more characters using an artificial neural network.

8. The method of claim 1 , wherein the computing device comprises an artificial neural network.

9. The method of claim 1 , wherein the performing lateral view analysis comprises:

selecting, by the computing device, a number of characteristic points;

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

locating, by the computing device, characteristic points on the first and second contours,

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

10. The method of claim 9 , wherein the one or more characters comprises an origin 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.

11. The method of claim 9 , wherein the horizontal segments have the same height.

12. The method of claim 1 , wherein the characters are cursive characters.

13. The method of claim 1 , wherein the characters are compound characters.

14. A system comprising:

a data acquisition device configured to acquire character data comprising one or more characters, the one or more characters having a first contour and a second contour; and

a computing device configured to:

perform lateral view analysis on the character data, the lateral view analysis comprising locating characteristic points on the first and second contours, wherein a characteristic point is located in each segment on the first contour and the second contour;

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

identify the one or more characters.

15. The system of claim 14 , wherein the performing lateral view analysis further comprises:

selecting a number of the characteristic points; and

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

16. The system of claim 14 , wherein the computing device is further configured to segment the character data into individual characters.

17. The system of claim 14 , wherein the computing device is further configured to identify the one or more characters using an artificial neural network.

18. The system of claim 14 , wherein the computing device is coupled to an artificial neural network.

19. The system of claim 14 , wherein the computing device is further configured to:

binarize the character data;

remove noise from the character data; and

perform oblique/skew detection.

20. The system of claim 14 , wherein the one or more characters comprises an origin 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.