最近遇到了一个需求，就是在设置账号名称中禁止输入表情,就把该知识点整理了一下，记录以便下次查找. 可能还有不完善之处，请各位补充。
方法1:此方法个别表情识别不出来 比如我的华为手机 电话表情 不能识别
//此方法个别表情识别不出来 比如我的华为手机 电话表情 不能识别//去除表情规则// \u0020-\\u007E 标点符号，大小写字母，数字// \u00A0-\\u00BE 特殊标点 (¡¢£¤¥¦§¨©ª«¬®¯°±²³´µ¶·¸¹º»¼½¾)// \u2E80-\\uA4CF 繁简中文,日文，韩文 彝族文字// \uF900-\\uFAFF 部分汉字// \uFE30-\\uFE4F 特殊标点(︴︵︶︷︸︹)// \uFF00-\\uFFEF 日文 (ｵｶｷｸｹｺｻ)// \u2000-\\u201f 特殊字符(‐‑‒–—―‖‗‘’‚‛“”„‟)// 注：对照表 /hherima/article/details/9045765// [^\\u0020-\\u007E\\u00A0-\\u00BE\\u2E80-\\uA4CF\\uF900-\\uFAFF\\uFE30-\\uFE4F\\uFF00-\\uFFEF\\u2000-\\u201f\r\n]public static boolean isEmoj(String str){String a="[^\\u0020-\\u007E\\u00A0-\\u00BE\\u2E80-\\uA4CF\\uF900-\\uFAFF\\uFE30-\\uFE4F\\uFF00-\\uFFEF\\u0080-\\u009F\\u2000-\\u201f\\r\\n]";Pattern pattern = pile(a);Matcher isEmoj = pattern.matcher(str);if(isEmoj.matches()){return true;}return false;}
方法2：此方法个别表情识别不出来 比如我的华为手机 电话表情 不能识别
//此方法个别表情识别不出来 比如电话表情edt.addTextChangedListener(new TextWatcher() {@Overridepublic void beforeTextChanged(CharSequence s, int start, int count, int after) {}@Overridepublic void onTextChanged(CharSequence s, int start, int before, int count) {if (TextUtils.isEmpty(edt.getText().toString())){return;}if (noContainsEmoji(edt.getText().toString())){Toast.makeText(MainActivity.this,"不支持该表情",Toast.LENGTH_SHORT).show();return;}}@Overridepublic void afterTextChanged(Editable s) {}});private boolean noContainsEmoji(String str) {//真为不含有表情int len = str.length();for (int i = 0; i < len; i++) {if (isEmojiCharacter(str.charAt(i))) {return true;}}return false;}private boolean isEmojiCharacter(char codePoint) {return !((codePoint == 0x0) ||(codePoint == 0x9) ||(codePoint == 0xA) ||(codePoint == 0xD) ||((codePoint >= 0x20) && (codePoint <= 0xD7FF)) ||((codePoint >= 0xE000) && (codePoint <= 0xFFFD)) ||((codePoint >= 0x10000) && (codePoint <= 0x10FFFF)));}
方法3：此方法个别表情识别不出来 比如我的华为手机 电话表情 不能识别
//此方法个别表情识别不出来 比如电话表情public static boolean isEmoj2(String substring){for (int i = 0; i < substring.length(); i++) {char hs = substring.charAt(i);if (0xd800 <= hs && hs <= 0xdbff) {if (substring.length() > 1) {char ls = substring.charAt(i);int uc = ((hs - 0xd800) * 0x400) + (ls - 0xdc00) + 0x10000;if (0x1d000 <= uc && uc <= 0x1f77f) {return true;}}} else if (substring.length() > 1) {char ls = substring.charAt(i);if (ls == 0x20e3) {return true;}} else {if (0x2100 <= hs && hs <= 0x27ff) {return true;} else if (0x2B05 <= hs && hs <= 0x2b07) {return true;} else if (0x2934 <= hs && hs <= 0x2935) {return true;} else if (0x3297 <= hs && hs <= 0x3299) {return true;} else if (hs == 0xa9 || hs == 0xae || hs == 0x303d || hs == 0x3030|| hs == 0x2b55 || hs == 0x2b1c || hs == 0x2b1b|| hs == 0x2b50) {return true;}}}return false;}
方法4：我用的是第四种方法（推荐）
//过滤掉表情 可识别我华为手机 qq里面的 电话表情 edt为输入框idedt.setFilters(new InputFilter[]{new EmojiExcludeFilter()}); public class EmojiExcludeFilter implements InputFilter {@Overridepublic CharSequence filter(CharSequence source, int start, int end, Spanned dest, int dstart, int dend) {for (int i = start; i < end; i++) {int type = Character.getType(source.charAt(i));if (type == Character.SURROGATE || type == Character.OTHER_SYMBOL) {return "";}}return null;}}
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