Abstract: A thin film transistor array substrate and a method for manufacturing the same are disclosed. The thin film transistor array substrate includes a plurality of gate lines and a plurality of data lines on a substrate, to define pixel regions crossing each other, thin film transistors, each formed at the intersection of the gate lines and the data lines, and including a gate electrode, a source electrode and a drain electrode, common lines, each including a first pattern formed across the data lines, a second pattern formed adjacent to the data lines on both sides in the pixel region and parallel to the data lines, and a third pattern formed adjacent to the gate lines to connect the second pattern disposed on both the sides in the associated one of the pixel regions, and passing below the drain electrode of the thin film transistors and pixel electrodes formed in the pixel regions.

Abstract: Disclosed is a device and method for recognizing characters in an image. An input part receives the image. A blurring decision part classifies the received image into character blocks and background blocks, calculates an average energy ratio of the character blocks, and compares the average energy ratio with a predetermined threshold to determine whether the received image is blurred. If the received image is not blurred, an image binarization part classifies the received image into character blocks and background blocks, compares pixels in the character blocks with a pixel threshold, binarizes the pixels in the character blocks into a brightness value for a character pixel and a brightness value for a background pixel based on the comparison, and binarizes pixels in the background blocks into the brightness value for a background pixel. A character recognition part recognizes characters in the binarized image.

Abstract: Disclosed is a device for binarizing an image. The device comprises an input part for receiving an image, a block classification part for dividing the received image into blocks, and classifying the divided blocks into character blocks and background blocks, an edge enhancement part for enhancing edges of a character block using relations between neighboring pixels in the character block classified by the block classification part, and generating a threshold for distinguishing character pixels and background pixels of the character block, and a binarization part for binarizing pixels of character blocks output from the edge enhancement part into a first brightness value for character pixels and a second brightness value for background pixels by comparing the pixels of the character blocks with the threshold, and binarizing pixels of background blocks output from the block classification part into the second brightness value.

Abstract: Disclosed is a device and method for recognizing characters in an image. An input part receives the image. A blurring decision part classifies the received image into character blocks and background blocks, calculates an average energy ratio of the character blocks, and compares the average energy ratio with a predetermined threshold to determine whether the received image is blurred. If the received image is not blurred, an image binarization part classifies the received image into character blocks and background blocks, compares pixels in the character blocks with a pixel threshold, binarizes the pixels in the character blocks into a brightness value for a character pixel and a brightness value for a background pixel based on the comparison, and binarizes pixels in the background blocks into the brightness value for a background pixel. A character recognition part recognizes characters in the binarized image.