1. A method for automatically recognizing Arabic text, comprising: acquiring a text image comprising one or more Arabic words each including one or more Arabic characters; identify a plurality of lines of Arabic text in the text image; segmenting one of the plurality of lines of Arabic text into Arabic words; digitizing at least one of the Arabic words to form a two-dimensional array of pixels each associated with a pixel value, wherein the pixel value is expressed in a binary number; dividing the one of the Arabic words into a plurality of line images; defining a plurality of cells in one of the plurality of line images, wherein each of the plurality of cells comprises a group of adjacent pixels; serializing pixel values of pixels in each of the plurality of cells in one of the plurality of line images to form a binary cell number; forming a text feature vector according to binary cell numbers obtained from the plurality of cells in one of the plurality of line images; and feeding the text feature vector into a Hidden Markov Model to recognize the one or more Arabic words including the Arabic characters.
1. A method for automatically recognizing Arabic text, comprising: acquiring a text image comprising one or more Arabic words each including one or more Arabic characters; identify a plurality of lines of Arabic text in the text image; segmenting one of the plurality of lines of Arabic text into Arabic words; digitizing at least one of the Arabic words to form a two-dimensional array of pixels each associated with a pixel value, wherein the pixel value is expressed in a binary number; dividing the one of the Arabic words into a plurality of line images; defining a plurality of cells in one of the plurality of line images, wherein each of the plurality of cells comprises a group of adjacent pixels; serializing pixel values of pixels in each of the plurality of cells in one of the plurality of line images to form a binary cell number; forming a text feature vector according to binary cell numbers obtained from the plurality of cells in one of the plurality of line images; and feeding the text feature vector into a Hidden Markov Model to recognize the one or more Arabic words including the Arabic characters. 13. The method of claim 1 , wherein the pixel values in the two-dimensional array of pixels are expressed in multi-bit binary numbers.