常用正则

记录几个正则，搜集并稍微整理了下，基本满足需求。

校验还是稍微有点严谨的，
手机号是对号段进行校验，支持166和167号段。
银行卡号由于手里的卡bin不全，所以暂时无法进行卡bin的校验，只能粗略的校验位数，通常是16或19位数字，但是实际发现有其他位数的银行卡号，所以这里判断16~19位的都可以。
邮箱就是通常的都可以。
身份证的校验了格式和最后一位校验码，所以乱输的肯定不可以。

public class CommonUtils {
    /*
     * 正则用法如下
     * Matcher cardMatcher = CommonUtils.bankCardPattern.matcher(cardNo);
     * cardMatcher.find(); // 返回true表示校验通过
     */
    // 手机号
    private static final String phoneRegExp = "^1([38][0-9]|4[1,4-9]|5[0-3,5-9]|6[6-7]|7[0-8]|9[189])\\d{8}$"; 
    public static Pattern phoneRegPattern = Pattern.compile(phoneRegExp);
    // 银行卡号
    private static final String bankCardRegExp = "^([1-9]{1})(\\d{15,18})$"; 
    public static Pattern bankCardPattern = Pattern.compile(bankCardRegExp);
    // 邮箱
    private static final String mailRegExp = "^[a-z0-9]+([._\\\\-]*[a-z0-9])*@([a-z0-9]+[-a-z0-9]*[a-z0-9]+\\.){1,63}[a-z0-9]+$"; 
    public static Pattern mailRegPattern = Pattern.compile(mailRegExp);
    // 身份证号格式
    private static Pattern idNumberRegPattern = Pattern.compile("^(?i)\\d{17}(\\d|x)$");
    // {11:"北京",12:"天津",13:"河北",14:"山西",15:"内蒙古",21:"辽宁",22:"吉林",23:"黑龙江 ",31:"上海",32:"江苏",33:"浙江",34:"安徽",35:"福建",36:"江西",37:"山东",41:"河南",42:"湖北 ",43:"湖南",44:"广东",45:"广西",46:"海南",50:"重庆",51:"四川",52:"贵州",53:"云南",54:"西藏 ",61:"陕西",62:"甘肃",63:"青海",64:"宁夏",65:"新疆",71:"台湾",81:"香港",82:"澳门",91:"国外"}
    private static Set<String> citySet = new HashSet<>(Arrays.asList("11", "12", "13", "14", "15", "21", "22", "23", "31", "32", "33", "34", "35", "36", "37", "41", "42", "43", "44", "45", "46", "50", "51", "52", "53", "54", "61", "62", "63", "64", "65", "71", "81", "82", "91"));
    
    /**
     * 校验身份证
     * @param idNumber 身份证号
     * @return 通过返回true，否则返回false
     */
    public static boolean validIdNumber(String idNumber) {
        boolean result = false;

        Date parse;
        Date now = new Date();
        int sum = 0;
        char residue;
        SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMdd");
        int[] arrInt = {7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2};
        char[] arrCh = {'1', '0', 'X', '9', '8', '7', '6', '5', '4', '3', '2'};

        try {
            String birthday = idNumber.substring(6, 10) + idNumber.substring(10, 12) + idNumber.substring(12, 14);
            parse = sdf.parse(birthday);

            if (idNumberRegPattern.matcher(idNumber).find()) {
                if (citySet.contains(idNumber.substring(0, 2))) {
                    if (now.compareTo(parse) > 0) {
                        for (int i = 0; i < 17; i++) {
                            sum += Integer.parseInt(String.valueOf(idNumber.charAt(i))) * arrInt[i];
                        }
                        
                        residue = arrCh[sum % 11];
                        if (residue == idNumber.charAt(17)) {
                            result = true;
                        }

                    }
                }
            }
        } catch (Exception e) {
            // 吃掉异常
        }

        return result;
    }
}

这里是把做成工具类方便统一使用。参考了比较多的文章，忘记保存了，所以就不贴引用网址了。内容基本来自网络，我只是最后整理下，并且测试使用没问题。