9. A method for automatically recognizing Arabic text, comprising: acquiring a text image containing a line of Arabic characters; digitizing the line of the Arabic characters to form a two-dimensional array of pixels each associated with a pixel value; dividing the line of the Arabic characters into a plurality of line images; downsizing at least one of the plurality of line images to produce a downsized line image; serializing pixel values of pixels in each column of the downsized line image to form a string of serialized numbers, wherein the string of serialized numbers forms a text feature vector; and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters.
9. A method for automatically recognizing Arabic text, comprising: acquiring a text image containing a line of Arabic characters; digitizing the line of the Arabic characters to form a two-dimensional array of pixels each associated with a pixel value; dividing the line of the Arabic characters into a plurality of line images; downsizing at least one of the plurality of line images to produce a downsized line image; serializing pixel values of pixels in each column of the downsized line image to form a string of serialized numbers, wherein the string of serialized numbers forms a text feature vector; and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic characters. 10. The method of claim 9 , wherein the two-dimensional array of pixels comprises a plurality of rows in a first direction and a plurality of columns in a second direction, wherein the line of Arabic characters is aligned substantially along the first direction, wherein the plurality of line images are sequentially aligned along the first direction.