ASCII　art　detection　and　recognition　is　an　important　branch　of　current　network　information　processing.　However,　due　to　ASCII　art＇s　text-based　organization　and　image-based　semantic　expression,　traditional　natural　language　processing　(NLP)　and　image　recognition　fail　to　yield　ideal　results.　This　paper　designs　an　ASCII　art　localization　and　extraction　algorithm　based　on　string　distance　for　highly　mixed　text　and　ASCII　art,　aiming　to　segment　clean　ASCII　art　for　subsequent　recognition.　Additionally,　an　evaluation　standard　for　ASCII　art　extraction　effectiveness　is　defined.　Experimental　results　show　that　the　proposed　algorithm　performs　well　in　locating　and　extracting　ASCII　art.　©　2024　IEEE.