700字范文 > 基于虹软使用Java实现人脸识别人脸比对活性检测等

基于虹软使用Java实现人脸识别人脸比对活性检测等

时间：2019-06-15 03:39:24

基于虹软使用Java实现人脸识别、人脸比对、活性检测等

虹软：

免费，高级版本试用支持在线、离线有 Java SDK，C++ SDK

一、注册虹软开发者平台

点击注册

注册完成后可在“我的应用”中新建应用，获得APP_ID和SDK_Key，请记住这两个信息，后续 SDK 中会用到。

接下来下载SDK就行了。

二、开始使用SDK

SDK包结构

在下载的sdk包中，包结构大概是这样

|—demo

| |—ArcFaceDemo Demo工程

|—doc

| |—ARCSOFT_ARC_FACE_DEVELOPER’S_GUIDE.PDF 开发说明文档

|—inc

| |—amcomdef.h 平台文件

| |—asvloffscreen.h 平台文件

| |—arcsoft_face_sdk.h 接口文件

| |—merror.h 错误码文件

|—lib

|—|---Win32/x64

| |—|---libarcsoft_face.dll 算法库

| |—|---libarcsoft_face_engine.dll 引擎库

| |—|---libarcsoft_face_engine.lib 引擎库

|—samplecode

| |—samplecode.cpp 示例代码

|—releasenotes.txt 说明文件

在项目中引入 SDK 包

<dependency><groupId>arcsoft</groupId><artifactId>arcsoft-sdk-face</artifactId><version>3.0.0.0</version><scope>system</scope><systemPath>${project.basedir}/lib/arcsoft-sdk-face-3.0.0.0.jar</systemPath></dependency>

简单的集成

package com.study;import com.arcsoft.face.*;import com.arcsoft.face.enums.*;import com.arcsoft.face.toolkit.ImageFactory;import com.arcsoft.face.toolkit.ImageInfo;import com.arcsoft.face.toolkit.ImageInfoEx;import com.study.exception.CustomException;import com.study.vo.FaceDetailInfo;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import java.io.File;import .URL;import java.util.ArrayList;import java.util.List;/*** 集成虹软-人脸识别测试** @author ouyangrongtao* @since -02-20 19:12*/public class FaceEngineMain {// 从上述的开发者平台-“我的应用” 获取private static final String APP_ID = "";private static final String SDK_KEY = "";// sdk安装路径private static final String ARC_FACE_PATH = "arcsoft";private static final Logger LOGGER = LoggerFactory.getLogger(FaceEngineMain.class);public static void main(String[] args) {FaceEngineMain faceEngineMain = new FaceEngineMain();// 激活FaceEngine faceEngine = faceEngineMain.active();// 识别功能配置FunctionConfiguration functionConfiguration = faceEngineMain.getFunctionConfiguration();// 初始化识别引擎faceEngineMain.initEngine(faceEngine, functionConfiguration);ImageInfo imageInfo = ImageFactory.getRGBData(new File("d:\\aaa.jpeg"));ImageInfo imageInfo2 = ImageFactory.getRGBData(new File("d:\\bbb.jpeg"));// 人脸检测&特征提取1List<FaceDetailInfo> faceDetailInfoList1 = faceEngineMain.detectFaces(faceEngine, imageInfo);// 人脸检测&特征提取2List<FaceDetailInfo> faceDetailInfoList2 = faceEngineMain.detectFaces(faceEngine, imageInfo2);/** 特征比对* 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82* 用于生活照之间的特征比对，推荐阈值0.80*/FaceSimilar faceSimilar = pareFaceFeature(faceEngine,faceDetailInfoList1.get(0).getFaceFeature(), faceDetailInfoList2.get(0).getFaceFeature());LOGGER.info("相似度：{}", faceSimilar.getScore());// 获取人脸属性faceEngineMain.getFaceAttributes(faceEngine, imageInfo);ImageInfo imageInfo3 = ImageFactory.getRGBData(new File("d:\\ccc.jpg"));ImageInfo imageInfo4 = ImageFactory.getRGBData(new File("d:\\ddd.jpg"));// 人脸检测&特征提取3List<FaceDetailInfo> faceDetailInfoList3 = faceEngineMain.detectFacesEx(faceEngine, imageInfo3, DetectModel.ASF_DETECT_MODEL_RGB);// 人脸检测&特征提取4List<FaceDetailInfo> faceDetailInfoList4 = faceEngineMain.detectFacesEx(faceEngine, imageInfo4, DetectModel.ASF_DETECT_MODEL_RGB);// 特征比对FaceSimilar faceSimilar2 = pareFaceFeature(faceEngine,faceDetailInfoList3.get(0).getFaceFeature(), faceDetailInfoList4.get(0).getFaceFeature(), CompareModel.LIFE_PHOTO);/** 特征比对* 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82* 用于生活照之间的特征比对，推荐阈值0.80*/LOGGER.info("相似度：{}", faceSimilar2.getScore());// 获取人脸属性faceEngineMain.getFaceAttributesEx(faceEngine, imageInfo);ImageInfo imageInfoGray = ImageFactory.getGrayData(new File("d:\\ddd.jpg"));// 活体检测 RGB & IRfaceEngineMain.getLiveness(faceEngine, imageInfo, imageInfoGray);// 卸载faceEngineMain.unInit(faceEngine);}/*** 活体检测* @param faceEngine 引擎* @param imageInfoRGB RGB图片信息* @param imageInfoGray Gray图片信息*/private void getLiveness(FaceEngine faceEngine, ImageInfo imageInfoRGB, ImageInfo imageInfoGray) {// 人脸检测List<FaceInfo> faceInfoList = new ArrayList<>();faceEngine.detectFaces(imageInfoRGB.getImageData(),imageInfoRGB.getWidth(), imageInfoRGB.getHeight(), imageInfoRGB.getImageFormat(), faceInfoList);// 设置活体测试阀值faceEngine.setLivenessParam(0.5f, 0.7f);// RGB人脸检测FunctionConfiguration configuration = new FunctionConfiguration();configuration.setSupportLiveness(true);faceEngine.process(imageInfoRGB.getImageData(),imageInfoRGB.getWidth(), imageInfoRGB.getHeight(), imageInfoRGB.getImageFormat(), faceInfoList, configuration);// RGB活体检测List<LivenessInfo> livenessInfoList = new ArrayList<>();faceEngine.getLiveness(livenessInfoList);LOGGER.info("RGB活体：{}", livenessInfoList.get(0).getLiveness());// IR属性处理List<FaceInfo> faceInfoListGray = new ArrayList<>();// IR人脸检查faceEngine.detectFaces(imageInfoGray.getImageData(),imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray);configuration = new FunctionConfiguration();configuration.setSupportIRLiveness(true);faceEngine.processIr(imageInfoGray.getImageData(),imageInfoGray.getWidth(), imageInfoGray.getHeight(), imageInfoGray.getImageFormat(), faceInfoListGray, configuration);//IR活体检测List<IrLivenessInfo> irLivenessInfo = new ArrayList<>();faceEngine.getLivenessIr(irLivenessInfo);LOGGER.info("IR活体：{}", irLivenessInfo.get(0).getLiveness());}/*** 人脸属性检测* @param faceEngine 引擎* @param imageInfo 图片信息*/private void getFaceAttributesEx(FaceEngine faceEngine, ImageInfo imageInfo) {// 人脸检测List<FaceInfo> faceInfoList = new ArrayList<>();faceEngine.detectFaces(imageInfo.getImageData(),imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);ImageInfoEx imageInfoEx = new ImageInfoEx();imageInfoEx.setHeight(imageInfo.getHeight());imageInfoEx.setWidth(imageInfo.getWidth());imageInfoEx.setImageFormat(imageInfo.getImageFormat());imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});//人脸属性检测FunctionConfiguration configuration = new FunctionConfiguration();configuration.setSupportGender(true);configuration.setSupportAge(true);configuration.setSupportFace3dAngle(true);faceEngine.process(imageInfoEx, faceInfoList, configuration);//性别检测List<GenderInfo> genderInfoList = new ArrayList<>();faceEngine.getGender(genderInfoList);LOGGER.info("性别：{}", genderInfoList.get(0).getGender());//年龄检测List<AgeInfo> ageInfoList = new ArrayList<>();faceEngine.getAge(ageInfoList);LOGGER.info("年龄：{}", ageInfoList.get(0).getAge());//3D信息检测List<Face3DAngle> face3DAngleList = new ArrayList<>();faceEngine.getFace3DAngle(face3DAngleList);Face3DAngle face3DAngle = face3DAngleList.get(0);LOGGER.info("3D角度：{}", face3DAngle.getPitch() + "," + face3DAngle.getRoll() + "," + face3DAngle.getYaw());}/*** 人脸属性检测* @param faceEngine 引擎* @param imageInfo 图片信息*/private void getFaceAttributes(FaceEngine faceEngine, ImageInfo imageInfo) {//人脸属性检测FunctionConfiguration configuration = new FunctionConfiguration();configuration.setSupportGender(true);configuration.setSupportAge(true);configuration.setSupportFace3dAngle(true);// 人脸检测List<FaceInfo> faceInfoList = new ArrayList<>();faceEngine.detectFaces(imageInfo.getImageData(),imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);faceEngine.process(imageInfo.getImageData(),imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList, configuration);//性别检测List<GenderInfo> genderInfoList = new ArrayList<>();faceEngine.getGender(genderInfoList);LOGGER.info("性别：{}", genderInfoList.get(0).getGender());//年龄检测List<AgeInfo> ageInfoList = new ArrayList<>();faceEngine.getAge(ageInfoList);LOGGER.info("年龄：{}", ageInfoList.get(0).getAge());//3D信息检测List<Face3DAngle> face3DAngleList = new ArrayList<>();faceEngine.getFace3DAngle(face3DAngleList);Face3DAngle face3DAngle = face3DAngleList.get(0);LOGGER.info("3D角度：{}", face3DAngle.getPitch() + "," + face3DAngle.getRoll() + "," + face3DAngle.getYaw());}/*** 特征比对-可设置比对模型* @param faceEngine 引擎* @param sourceFaceFeature 原特征值* @param targetFaceFeature 比对的特征值* @param compareModel 比对模型* @return 比对结果*/private FaceSimilar compareFaceFeature(FaceEngine faceEngine, FaceFeature sourceFaceFeature, FaceFeature targetFaceFeature, CompareModel compareModel) {// 特征比对FaceSimilar faceSimilar = new FaceSimilar();int errorCode = pareFaceFeature(targetFaceFeature, sourceFaceFeature, compareModel, faceSimilar);if (ErrorInfo.MOK.getValue() != errorCode) {LOGGER.error("人脸特征比对失败");}return faceSimilar;}/*** 特征比对* @param faceEngine 引擎* @param sourceFaceFeature 原特征值* @param targetFaceFeature 比对的特征值* @return 比对结果*/private FaceSimilar compareFaceFeature(FaceEngine faceEngine, FaceFeature sourceFaceFeature, FaceFeature targetFaceFeature) {// 特征比对FaceSimilar faceSimilar = new FaceSimilar();int errorCode = pareFaceFeature(targetFaceFeature, sourceFaceFeature, faceSimilar);if (ErrorInfo.MOK.getValue() != errorCode) {LOGGER.error("人脸特征比对失败");}return faceSimilar;}/*** 人脸检测&特征提取--可设置检测模式* @param faceEngine 引擎* @param imageInfo 图片信息* @param detectModel 检测模式* @return 人脸信息*/private List<FaceDetailInfo> detectFacesEx(FaceEngine faceEngine, ImageInfo imageInfo, DetectModel detectModel) {ImageInfoEx imageInfoEx = new ImageInfoEx();imageInfoEx.setHeight(imageInfo.getHeight());imageInfoEx.setWidth(imageInfo.getWidth());imageInfoEx.setImageFormat(imageInfo.getImageFormat());imageInfoEx.setImageDataPlanes(new byte[][]{imageInfo.getImageData()});imageInfoEx.setImageStrides(new int[]{imageInfo.getWidth() * 3});List<FaceInfo> faceInfoList = new ArrayList<>();faceEngine.detectFaces(imageInfoEx, detectModel, faceInfoList);List<FaceDetailInfo> faceDetailInfoList = new ArrayList<>(faceInfoList.size());for (FaceInfo faceInfo : faceInfoList) {LOGGER.info("imageInfoEx 人脸检测结果: {}", faceInfo);FaceFeature faceFeature = new FaceFeature();faceEngine.extractFaceFeature(imageInfoEx, faceInfo, faceFeature);LOGGER.info("imageInfoEx 特征值大小：{}", faceFeature.getFeatureData().length);FaceDetailInfo faceDetailInfo = new FaceDetailInfo(faceInfo, faceFeature);faceDetailInfoList.add(faceDetailInfo);}return faceDetailInfoList;}/*** 人脸检测&特征提取* @param faceEngine 引擎* @param imageInfo 图片信息* @return 人脸信息*/private List<FaceDetailInfo> detectFaces(FaceEngine faceEngine, ImageInfo imageInfo) {// 人脸检测List<FaceInfo> faceInfoList = new ArrayList<>();faceEngine.detectFaces(imageInfo.getImageData(),imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfoList);List<FaceDetailInfo> faceDetailInfoList = new ArrayList<>(faceInfoList.size());// 特征提取for (FaceInfo faceInfo : faceInfoList) {LOGGER.info("人脸检测结果: {}", faceInfo);FaceFeature faceFeature = new FaceFeature();faceEngine.extractFaceFeature(imageInfo.getImageData(),imageInfo.getWidth(), imageInfo.getHeight(), imageInfo.getImageFormat(), faceInfo, faceFeature);LOGGER.info("特征值大小：{}", faceFeature.getFeatureData().length);FaceDetailInfo faceDetailInfo = new FaceDetailInfo(faceInfo, faceFeature);faceDetailInfoList.add(faceDetailInfo);}return faceDetailInfoList;}/*** 初始化识别引擎* @param faceEngine 人脸识别引擎* @param functionConfiguration 功能配置*/private void initEngine(FaceEngine faceEngine, FunctionConfiguration functionConfiguration) {// 引擎配置EngineConfiguration engineConfiguration = new EngineConfiguration();engineConfiguration.setDetectMode(DetectMode.ASF_DETECT_MODE_IMAGE);engineConfiguration.setDetectFaceOrientPriority(DetectOrient.ASF_OP_ALL_OUT);engineConfiguration.setDetectFaceMaxNum(10);engineConfiguration.setDetectFaceScaleVal(16);engineConfiguration.setFunctionConfiguration(functionConfiguration);// 初始化引擎int errorCode = faceEngine.init(engineConfiguration);if (errorCode != ErrorInfo.MOK.getValue()) {throw new CustomException("初始化引擎失败");}}/*** 识别功能配置*/private FunctionConfiguration getFunctionConfiguration() {// 功能配置FunctionConfiguration functionConfiguration = new FunctionConfiguration();functionConfiguration.setSupportAge(true);functionConfiguration.setSupportFace3dAngle(true);functionConfiguration.setSupportFaceDetect(true);functionConfiguration.setSupportFaceRecognition(true);functionConfiguration.setSupportGender(true);functionConfiguration.setSupportLiveness(true);functionConfiguration.setSupportIRLiveness(true);return functionConfiguration;}/*** 激活初次使用SDK时需要对SDK先进行激活，激活后无需重复调用；调用此接口时必须为联网状态，激活成功后即可离线使用；* @return FaceEngine 对象*/private FaceEngine active() {URL resource = ClassLoader.getSystemResource(ARC_FACE_PATH);LOGGER.info("软件安装目录：{}", resource);FaceEngine faceEngine = new FaceEngine(resource.getPath());ActiveFileInfo activeFileInfo = new ActiveFileInfo();int errorCode = faceEngine.getActiveFileInfo(activeFileInfo);if (errorCode != ErrorInfo.MOK.getValue()&& errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {LOGGER.info("获取激活文件信息失败");}// 首次激活errorCode = faceEngine.activeOnline(APP_ID, SDK_KEY);if (errorCode != ErrorInfo.MOK.getValue()&& errorCode != ErrorInfo.MERR_ASF_ALREADY_ACTIVATED.getValue()) {throw new CustomException("引擎激活失败");}LOGGER.info("激活信息：{}", activeFileInfo);return faceEngine;}/*** 卸载引擎* @param faceEngine 人脸识别引擎*/private void unInit(FaceEngine faceEngine) {faceEngine.unInit();}}

性能信息（参考官方文档）

阀值设置推荐（参考官方文档）

1. 活体取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为活体。- RGB 活体：0.5- IR 活体：0.72. 人脸比对取值范围为[0~1]，推荐阈值如下，高于此阈值的即可判断为同一人。- 用于生活照之间的特征比对，推荐阈值0.80- 用于证件照或生活照与证件照之间的特征比对，推荐阈值0.82