# US 2014/0193033 A1 · Method and device for road sign recognition

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- Number: US 2014/0193033 A1
- Document ID: US20140193033A1
- Status: Published application
- Kind: A1
- Application number: 14/087,008
- Filed: 2013-11-22
- Published: 2014-07-10
- Earliest claimed: 2012-11-26
- Assignees: GM Global Technology Operations LLC
- Applicants: GM Global Technology Operations LLC
- Inventors: Johannes HUTH
- Web page: https://patentgrep.com/patent/US20140193033A1

## CPC

- G06V 20/582: {of traffic signs}
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

## Abstract

A method and a device are provided for recognizing road signs in image data. The method includes, but is not limited to segmenting an object in the image data that is a road sign for a predefined probability. A text mapped in the segmented image data is identified using a text recognition method, where this text comprises numbers and/or words and/or abbreviations and/or combinations thereof. A probability value is determined for the text being depicted on a road sign and, in case the probability value is smaller than or equal to a predefined threshold value, is selected as a potential road sign. In case the probability value is greater than the predefined threshold value, a classifier is applied to the segmented image data for recognizing the object as an actual road sign.

## Claims

### Claim 1

A method for recognizing road signs in image data, comprising:
segmenting a road sign for a predefined first probability in the image data;
identifying a text mapped in the image data after the segmenting using a text recognition method;
determining a probability value for the text depicted on the road sign,
selecting the road sign as a potential road sign in a first case that the probability value is smaller than or equal to a predefined threshold value; and
applying a classifier to the image data for recognizing the road sign as an actual road sign in a second case that the probability value is greater than the predefined threshold value.

### Claim 2

(canceled)

### Claim 3 (depends on 1)

The method according to claim 1, wherein the probability value is based on a predefined desired match of an outer contour of the road sign that is mapped in the image data with a shape of a known road signs.

### Claim 4 (depends on 1)

The method according to claim 1, wherein the probability value is based on a predefined match of colors of the road sign that is mapped in the image data with colors of a known road sign.

### Claim 5 (depends on 1)

The method according to claim 1, wherein the segmenting is performed using an edge based segmenting process.

### Claim 6 (depends on 1)

The method according to claim 1, wherein the text recognition method is an OCR method.

### Claim 7

(canceled)

### Claim 8 (depends on 1)

The method according to claim 1, wherein the classifier is configured for a classification of pictograms.

### Claim 9

(canceled)

### Claim 10

A device for recognizing road signs in image data comprising:
segmenting device that is configured to segment a road sign for a predefined first probability in the image data;
a text mapping device that is configured to map text in the image data produced by the segmenting device with a text recognition method;
a determining device with which a probability value is determined for the text depicted on the road sign;
a selecting device that is configured to select the road sign as a potential traffic sign if the probability value is smaller than or equal to a predefined threshold value; and
a classifying device that is applied to the image data produced by the segmenting device for recognizing the road sign as an actual road sign if the probability value is greater than the predefined threshold value.

### Claim 11

(canceled)

### Claim 12 (depends on 10)

The device according to claim 10, wherein the text recognition method is an OCR recognition method.

### Claim at position 13

13-15. (canceled)

### Claim 16 (depends on 10)

The device according to claim 10, wherein the text comprises a number.

### Claim 17 (depends on 10)

The device according to claim 10, wherein the text comprises a word.

### Claim 18 (depends on 10)

The device according to claim 10, wherein the text comprises an abbreviation.

### Claim 19 (depends on 10)

The device according to claim 10, wherein the text comprises an abbreviation.

### Claim 20 (depends on 12)

The device according to claim 12, wherein the text recognition method is an ICR method.

### Claim 21 (depends on 12)

The device according to claim 12, wherein the text recognition method is an IWR method.