System and method for differentiating pictures and texts

• US 20060239555A1
• Filed: 04/25/2005
• Published: 10/26/2006
• Est. Priority Date: 04/25/2005
• Status: Abandoned Application

• Current Assignee: Primax Electronics Limited
• Original Assignee: Destiny Technology Corporation (Primax Electronics Limited)
• Inventors: Zhuoya, Wang
• Application Number:
  US11/113,183
• Publication Number:
  US 20060239555A1
• Time in Patent Office: Days
• US Class Current: 382/176
• CPC Class Codes: G06V 30/413 Classification of content, e.g. text, photographs or tables

Abstract

A system and method for differentiating pictures and texts includes, first, dividing an image corresponding to an image file to a plurality of unit areas of the same size each containing a plurality of pixels of the same number; generating a threshold by a threshold setting module based on the relationship between a gray-level and quantity; a picture text differentiating module sequentially performing statistics of the gray-levels of the pixels of the unit areas; sequentially comparing the gray-levels with the threshold; totaling the times that the gray-level equals to the threshold; and the picture text differentiating module comparing the times of equality with a preset comparison value to differentiate whether the data corresponding to the unit area is picture data or text image data.

Claims

1. A system for differentiating pictures and texts to differentiate picture data and text image data in an image file, a image generated from the image file containing a plurality of pixels with each pixel corresponding to a gray-level, the system comprising:

a threshold setting module for performing statistics all the pixels of the images to generate a relationship between the gray-level and quantity, and setting a threshold according to the relationship between the gray-level and quantity; and

a picture text differentiating module to divide the images to a plurality of unit areas of a same size, each of the unit areas containing a plurality of pixels, the picture text differentiating module comparing sequentially the gray-level of the pixels in the unit areas with the threshold, and totaling the times that the gray-level equals to the threshold, and comparing the times of equality with a preset comparison value;

wherein data corresponding to the unit area is treated as the picture data when the times of equality is greater than the comparison value, and the data corresponding to the unit area is treated as the text image data when the times of equality is less than the comparison value.

2. The system for differentiating pictures and texts of claim 1 further including an error correction module to change the data corresponding to the unit area to different data when the picture text differentiating module has confirmed that the data corresponding to the unit area being different from corresponding data of at least three neighboring unit areas of the unit area.

3. The system for differentiating pictures and texts of claim 1, wherein the preset setting rule is to select the gray-level corresponding to the least quantity as the threshold among two greatest quantities derived based on the relationship between the gray-level and quantity.

4. The system for differentiating pictures and texts of claim 1, wherein the preset setting rule is to take the average of two gray-levels corresponding to two greatest quantities derived based on the relationship between the gray-level and quantity as the threshold.

5. A method for differentiating pictures and texts to differentiate picture data and text image data in an image file, a image generated from the image file containing a plurality of pixels with each pixel corresponding to a gray-level, the method comprising the steps of:

performing statistics of all the pixels to generate a relationship between the gray-level and quantity;

setting a threshold according to the relationship between the gray-level and quantity;

dividing the images into a plurality of unit areas of a same size, each of the unit areas containing a plurality of pixels of a same number;

comparing sequentially the gray-level of the pixels in the unit areas with the threshold, and totaling the times that the gray-level equals to the threshold; and

comparing the times of equality with a preset comparison value, treating data corresponding to the unit area as the picture data when the times of equality is greater than the comparison value, and treating the data corresponding to the unit area as the text image data when the times of equality is less than the comparison value.

6. The method of claim 5 further including the step of changing the data corresponding to the unit area to different data when the data corresponding to the unit area being different from corresponding data of at least three neighboring unit areas of the unit area.

7. The method of claim 5, wherein the preset setting rule is to select the gray-level corresponding to the least quantity as the threshold among two greatest quantities derived based on the relationship between the gray-level and quantity.

8. The method of claim 5, wherein the preset setting rule is to take the average of two gray-levels corresponding to two greatest quantities derived based on the relationship between the gray-level and quantity as the threshold.