最近工作需要，需要从一串字符串中识别出姓名，手机号和省市区，例如下面的一些字符串：
橱之友，包卫贞，13600000000，浙江省宁波市，慈溪市，庵东镇 杭州湾新区世纪城翠湖苑5栋2000
【识别出】姓名为“包卫贞”，手机号为“13600000000”，省市区为“浙江省 宁波市 慈溪市”
marui谢sir，谢义海，13900000000，江苏省南京市，秦淮区，健康路1号水游城5楼1号
【识别出】姓名为“谢义海”，手机号为“13900000000”，省市区为“江苏省 南京市 秦淮区”
刘伟，13120000000，北京 北京市 朝阳区 东湖街道 利泽中园二区208号，000000
【识别出】姓名为“刘伟”，手机号为“13120000000”，省市区为“北京 北京市 朝阳区”
在网上找了很多资料，都没有解决，下面是我的详细解决思路和Java代码。
【解决思路】
1.最先识别出11位手机号，这个最简单
2.其次识别出姓名，姓名难度有点大，也没找到好的方法，我是从姓氏下手识别的。
3.最后识别出省市区，这个难度也很大，试了很多方法，最好找到一种方法，效果不错。
如果需要源码，可以去下载。
【java代码】
1.识别手机号
private static String getMobile(String addressInfo) {
//识别电话号码/
Pattern pattern = Pattern.compile("([1][3-9][\d]{9})|(0\d{2,4}-\d{7,8})");
Matcher matcher = pattern.matcher(addressInfo);
StringBuffer bf = new StringBuffer(64);
while (matcher.find()) {
bf.append(matcher.group());
}
return bf.toString();
}
2.识别姓名
private static String getName(String addressInfo,String splitStr) {
//识别姓名/
String[] firstNames = {"赵","钱","孙","李","周","吴","郑","王","冯","陈","褚","卫","蒋","沈","韩","杨","朱","秦","尤","许","何","吕","施","张","孔","曹","严","华","金","魏","陶","姜","戚","谢","邹","喻","柏","水","窦","章","云","苏","潘","葛","奚","范","彭","郎","鲁","韦","昌","马","苗","凤","花","方","俞","任","袁","柳","酆","鲍","史","唐","费","廉","岑","薛","雷","贺","倪","汤","滕","殷","罗","毕","郝","邬","安","常","乐","于","时","傅","皮","卞","齐","康","伍","余","元","卜","顾","孟","平","黄","和","穆","萧","尹","姚","邵","湛","汪","祁","毛","禹","狄","米","贝","明","臧","计","伏","成","戴","谈","宋","茅","庞","熊","纪","舒","屈","项","祝","董","粱","杜","阮","蓝","闵","席","季","麻","强","贾","路","娄","危","江","童","颜","郭","梅","盛","林","刁","钟","徐","邱","骆","高","夏","蔡","田","樊","胡","凌","霍","虞","万","支","柯","昝","管","卢","莫","经","房","裘","缪","干","解","应","宗","丁","宣","贲","邓","郁","单","杭","洪","包","诸","左","石","崔","吉","钮","龚","程","嵇","邢","滑","裴","陆","荣","翁","荀","羊","於","惠","甄","麴","家","封","芮","羿","储","靳","汲","邴","糜","松","井","段","富","巫","乌","焦","巴","弓","牧","隗","山","谷","车","侯","宓","蓬","全","郗","班","仰","秋","仲","伊","宫","宁","仇","栾","暴","甘","钭","厉","戎","祖","武","符","刘","景","詹","束","龙","叶","幸","司","韶","郜","黎","蓟","薄","印","宿","白","怀","蒲","邰","从","鄂","索","咸","籍","赖","卓","蔺","屠","蒙","池","乔","阴","欎","胥","能","苍","双","闻","莘","党","翟","谭","贡","劳","逄","姬","申","扶","堵","冉","宰","郦","雍","舄","璩","桑","桂","濮","牛","寿","通","边","扈","燕","冀","郏","浦","尚","农","温","别","庄","晏","柴","瞿","阎","充","慕","连","茹","习","宦","艾","鱼","容","向","古","易","慎","戈","廖","庾","终","暨","居","衡","步","都","耿","满","弘","匡","国","文","寇","广","禄","阙","东","殴","殳","沃","利","蔚","越","夔","隆","师","巩","厍","聂","晁","勾","敖","融","冷","訾","辛","阚","那","简","饶","空","曾","毋","沙","乜","养","鞠","须","丰","巢","关","蒯","相","查","後","荆","红","游","竺","权","逯","盖","益","桓","公","万俟","司马","上官","欧阳","夏侯","诸葛","闻人","东方","赫连","皇甫","尉迟","公羊","澹台","公冶","宗政","濮阳","淳于","单于","太叔","申屠","公孙","仲孙","轩辕","令狐","钟离","宇文","长孙","慕容","鲜于","闾丘","司徒","司空","亓官","司寇","仉","督","子车","颛孙","端木","巫马","公西","漆雕","乐正","壤驷","公良","拓跋","夹谷","宰父","谷梁","晋","楚","闫","法","汝","鄢","涂","钦","段干","百里","东郭","南门","呼延","归","海","羊舌","微生","岳","帅","缑","亢","况","后","有","琴","梁丘","左丘","东门","西门","商","牟","佘","佴","伯","赏","南宫","墨","哈","谯","笪","年","爱","阳","佟"};
String[] names=addressInfo.split(splitStr);
String name="";
for(int i=0;i<names.length;i++){
String nametmp=names[i];
//System.out.println(names.length+"//"+nametmp);
if(nametmp==null||nametmp.length()<=1||nametmp.length()>4){
continue;
}
for(int j=0;j<firstNames.length;j++){
if(nametmp.startsWith(firstNames[j])){
name=nametmp;
break;
}
}
if(!"".equals(name)){
break;
}
}
return name;
}
3.识别省市区 public static Map<String,String> getAddress(String address) throws MalformedURLException{
//根据市和详细地址获取地址经纬度
String LatitudeAndLongitude = getGeocoderLatitude(address, "");
JsonNode jsonNode = getposition(LatitudeAndLongitude);
String province = jsonNode.findValue("province").toString().replace("\"","");
String city = jsonNode.findValue("city").toString().replace("\"","");
String area = jsonNode.findValue("district").toString().replace("\"","");
String street=jsonNode.findValue("street").toString().replace("\"","");
Map<String,String> addMap = new HashMap<String,String>();
addMap.put("province", province);
addMap.put("city", city);
addMap.put("area", area);
addMap.put("street", street);
return addMap;
}
/
根据经纬度查询地址信息
@param
@throws MalformedURLException
/
public static JsonNode getposition(String LatitudeAndLongitude)
throws MalformedURLException {
BufferedReader in = null;
JsonNode locationNode = null;
/URL tirc = new URL("http://api.map.baidu.com/geocoder?location="
+ LatitudeAndLongitude + "&output=json&key="
+ "");/
URL tirc = new URL("http://api.map.baidu.com/geocoder/v2/?location="
+ LatitudeAndLongitude + "&output=json&ak="
+ ak);
try {
in = new BufferedReader(new InputStreamReader(tirc.openStream(),
"UTF-8"));
String res;
StringBuilder sb = new StringBuilder("");
while ((res = in.readLine()) != null) {
sb.append(res.trim());
}
String str = sb.toString();
ObjectMapper mapper = new ObjectMapper();
if (StringUtils.isNotEmpty(str)) {
JsonNode jsonNode = mapper.readTree(str);
jsonNode.findValue("status").toString();
JsonNode resultNode = jsonNode.findValue("result");
/JsonNode locationNode = resultNode
.findValue("formatted_address");/
locationNode = resultNode
.findValue("addressComponent");
/JsonNode area = locationNode.findValue("district");
System.out.println(area);*/
}
} catch (Exception e) {
}
return locationNode;
}
整个MyEclipse项目源码下载，导入到MyEclipse，运行测试代码就可看到效果。