1. A method for detecting texts included in a specific image, comprising steps of: (a) an apparatus detecting or allowing another device to detect one or more text candidates in the specific image by referring to feature values of pixels in the specific image; (b) the apparatus classifying or allowing another device to classify one or more weak texts in the specific image as strong texts by referring to information on at least one text classified as a strong text in another image related to the specific image if more than a certain percentage of the detected text candidates are classified as the weak texts as a result of comparison between at least one threshold value and at least one feature value of at least one pixel selected in a region where the detected text candidates are included or a value converted from the feature value.
9. The method of claim 1 , after the step of (a), further comprising a step of: (a1) the apparatus identifying or allowing another device to identify at least one text candidate set including text candidates whose corresponding regions overlap by at least a specific percentage, and selecting or allowing another device to select the text candidate satisfying a predetermined condition among the identified text candidate set, and wherein, at the step of (b), if the text candidate satisfying the predetermined condition is classified as the weak text with more than the certain percentage, the apparatus classifies or allows another device to classify the weak text in the specific image as the strong text by referring to the information on the text classified as the strong text in the another image related to the specific image.