diff --git a/resource/tasks/Roguelike/base.json b/resource/tasks/Roguelike/base.json
index 0edd01807b..d5c19ef851 100644
--- a/resource/tasks/Roguelike/base.json
+++ b/resource/tasks/Roguelike/base.json
@@ -801,7 +801,7 @@
         "baseTask": "NumberOcrReplace",
         "Doc": "生命值识别，暂时是把整个框进去，估计会把后面的生命值也识别到，后面得改改",
         "text": [],
-        "roi": [175, 30, 60, 30]
+        "roi": [170, 30, 70, 30]
     },
     "Roguelike@InBattleFlag": {
         "template": "BattleOfficiallyBegin.png",
diff --git a/src/MaaCore/Task/Roguelike/RoguelikeStageEncounterTaskPlugin.cpp b/src/MaaCore/Task/Roguelike/RoguelikeStageEncounterTaskPlugin.cpp
index 5ed8fed7c5..5348a2381f 100644
--- a/src/MaaCore/Task/Roguelike/RoguelikeStageEncounterTaskPlugin.cpp
+++ b/src/MaaCore/Task/Roguelike/RoguelikeStageEncounterTaskPlugin.cpp
@@ -5,6 +5,9 @@
 #include "Task/ProcessTask.h"
 #include "Utils/Logger.hpp"
 #include "Vision/Matcher.h"
+#include "Vision/RegionOCRer.h"
+
+#include <opencv2/imgproc.hpp>
 
 bool asst::RoguelikeStageEncounterTaskPlugin::verify(AsstMsg msg, const json::value& details) const
 {
@@ -263,13 +266,30 @@ int asst::RoguelikeStageEncounterTaskPlugin::hp(const cv::Mat& image)
 {
     LogTraceFunction;
 
-    int hp_val;
-    asst::OCRer analyzer(image);
-    analyzer.set_task_info("Roguelike@HpRecognition");
+    auto task = Task.get<OcrTaskInfo>("Roguelike@HpRecognition");
+    std::vector<std::pair<std::string, std::string>> merged_map;
+    merged_map.insert(merged_map.end(), task->replace_map.begin(), task->replace_map.end());
+    merged_map.emplace_back("(.*)/.*", "$1");
+
+    auto roi_image = make_roi(image, task->roi).clone();
+    cv::Mat r_channel;
+    cv::extractChannel(roi_image, r_channel, 2);
+    cv::Mat mask;
+    cv::threshold(r_channel, mask, 50, 255, cv::THRESH_BINARY);
+    cv::Mat inv_mask;
+    cv::bitwise_not(mask, inv_mask);
+    roi_image.setTo(cv::Scalar(0, 0, 0), mask);
+
+    RegionOCRer analyzer(roi_image);
+    analyzer.set_replace(merged_map);
+    analyzer.set_use_char_model(true);
+    analyzer.set_bin_threshold(60); // 血量没有红色通道，虽然它看着很明显，但实际上在灰度中只有 2/3
 
     auto res_vec_opt = analyzer.analyze();
     if (!res_vec_opt) {
         return -1;
     }
-    return utils::chars_to_number(res_vec_opt->front().text, hp_val) ? hp_val : 0;
+
+    int hp_val;
+    return utils::chars_to_number(res_vec_opt->text, hp_val) ? hp_val : 0;
 }