diff --git a/miniprogram/src/App.vue b/miniprogram/src/App.vue
index 6d64f22..6df0322 100644
--- a/miniprogram/src/App.vue
+++ b/miniprogram/src/App.vue
@@ -1,11 +1,34 @@
 <script setup lang="ts">
 import { onLaunch, onShow, onHide } from '@dcloudio/uni-app'
 import { initCompatibilityChecks } from '@/utils/compatibility'
+import { useUserStore } from '@/stores/user'
+import { get } from '@/utils/api'
 
-onLaunch(() => {
+onLaunch(async () => {
   console.log('App Launch')
-  // 初始化兼容性检查（需求 11.1, 11.2）
   initCompatibilityChecks()
+
+  // 恢复登录状态：token 存在时拉取用户信息
+  const token = uni.getStorageSync('token')
+  if (token) {
+    try {
+      const res = await get<{
+        openId: string
+        nickname: string
+        avatarUrl: string
+        totalCats: number
+        totalLikes: number
+        totalFavorites: number
+      }>('/user/profile')
+      if (res.success && res.data) {
+        const userStore = useUserStore()
+        userStore.setUser(res.data)
+      }
+    } catch {
+      // token 过期或无效，清除
+      uni.removeStorageSync('token')
+    }
+  }
 })
 
 onShow(() => {
diff --git a/miniprogram/src/components/AnimatedCat.vue b/miniprogram/src/components/AnimatedCat.vue
index bc21b2e..80eb32a 100644
--- a/miniprogram/src/components/AnimatedCat.vue
+++ b/miniprogram/src/components/AnimatedCat.vue
@@ -88,9 +88,10 @@ const shadowStyle = computed(() => ({
 }))
 
 // 动画循环（需求 5.1）
-const animate = (timestamp: number) => {
+const animate = () => {
+  const timestamp = Date.now()
+
   if (!props.active) {
-    animationFrame.value = requestAnimationFrame(animate)
     return
   }
 
@@ -122,22 +123,20 @@ const animate = (timestamp: number) => {
 
   // 耳朵运动动画（需求 5.1）
   earAngle.value = Math.sin(timestamp / 200) * 2
-
-  animationFrame.value = requestAnimationFrame(animate)
 }
 
 // 开始动画
 const startAnimation = () => {
   if (animationFrame.value === null) {
     lastTime.value = 0
-    animationFrame.value = requestAnimationFrame(animate)
+    animationFrame.value = setInterval(animate, 16) as unknown as number
   }
 }
 
 // 停止动画
 const stopAnimation = () => {
   if (animationFrame.value !== null) {
-    cancelAnimationFrame(animationFrame.value)
+    clearInterval(animationFrame.value)
     animationFrame.value = null
   }
 }
diff --git a/miniprogram/src/components/DrawingCanvas.vue b/miniprogram/src/components/DrawingCanvas.vue
index 5562db3..8ebde9d 100644
--- a/miniprogram/src/components/DrawingCanvas.vue
+++ b/miniprogram/src/components/DrawingCanvas.vue
@@ -89,8 +89,8 @@ const initCanvas = () => {
         ctx.lineCap = 'round'
         ctx.lineJoin = 'round'
         
-        ctx.fillStyle = '#ffffff'
-        ctx.fillRect(0, 0, props.width, props.height)
+        // 透明背景 - 不填充白色
+        ctx.clearRect(0, 0, props.width, props.height)
         
         console.log('Canvas initialized successfully')
       } else {
@@ -107,6 +107,22 @@ const drawLine = (from: { x: number; y: number }, to: { x: number; y: number })
   
   const style = getCurrentStrokeStyle()
   
+  if (canvasStore.isEraser) {
+    // 橡皮擦用 clearRect 擦除为透明
+    const size = style.size
+    const dx = to.x - from.x
+    const dy = to.y - from.y
+    const dist = Math.sqrt(dx * dx + dy * dy)
+    const steps = Math.max(1, Math.floor(dist / 2))
+    for (let i = 0; i <= steps; i++) {
+      const t = i / steps
+      const x = from.x + dx * t - size / 2
+      const y = from.y + dy * t - size / 2
+      ctx.clearRect(x, y, size, size)
+    }
+    return
+  }
+  
   ctx.beginPath()
   ctx.strokeStyle = style.color
   ctx.lineWidth = style.size
@@ -144,11 +160,16 @@ const handleTouchStart = (e: any) => {
   lastPoint.value = pos
   
   if (ctx) {
-    const style = getCurrentStrokeStyle()
-    ctx.beginPath()
-    ctx.fillStyle = style.color
-    ctx.arc(pos.x, pos.y, style.size / 2, 0, Math.PI * 2)
-    ctx.fill()
+    if (canvasStore.isEraser) {
+      const style = getCurrentStrokeStyle()
+      ctx.clearRect(pos.x - style.size / 2, pos.y - style.size / 2, style.size, style.size)
+    } else {
+      const style = getCurrentStrokeStyle()
+      ctx.beginPath()
+      ctx.fillStyle = style.color
+      ctx.arc(pos.x, pos.y, style.size / 2, 0, Math.PI * 2)
+      ctx.fill()
+    }
   }
 }
 
@@ -202,8 +223,7 @@ const getImageDataForCat = (): Promise<string> => {
 // 清空画布
 const clearCanvas = () => {
   if (!ctx) return
-  ctx.fillStyle = '#ffffff'
-  ctx.fillRect(0, 0, props.width, props.height)
+  ctx.clearRect(0, 0, props.width, props.height)
   emit('clear')
 }
 
diff --git a/miniprogram/src/pages/cafe/cafe.vue b/miniprogram/src/pages/cafe/cafe.vue
index 92b4626..e6a366c 100644
--- a/miniprogram/src/pages/cafe/cafe.vue
+++ b/miniprogram/src/pages/cafe/cafe.vue
@@ -158,26 +158,30 @@ const loadCats = async (refresh = false) => {
     const endpoint = activeTab.value === 'global' ? '/cats/global' : '/cats/mine'
     const page = refresh ? 1 : catsStore.currentPage
     
-    const response = await get<{ cats: Cat[], hasMore: boolean }>(
-      `${endpoint}?page=${page}&limit=20`
-    )
-    
-    if (response.success && response.data) {
-      const cats = response.data.cats.map(cat => ({
-        ...cat,
-        createdAt: new Date(cat.createdAt)
-      }))
+    if (activeTab.value === 'global') {
+      const response = await get<{ items: Cat[], hasMore: boolean }>(
+        `${endpoint}?page=${page}&limit=20`
+      )
       
-      if (activeTab.value === 'global') {
+      if (response.success && response.data) {
+        const cats = (response.data.items || []).map(cat => ({
+          ...cat,
+          createdAt: new Date(cat.createdAt)
+        }))
         catsStore.setGlobalCats(cats, !refresh)
-      } else {
-        catsStore.setMyCats(cats)
+        catsStore.setHasMore(response.data.hasMore)
+        if (!refresh) catsStore.nextPage()
       }
+    } else {
+      const response = await get<Cat[]>(`${endpoint}`)
       
-      catsStore.setHasMore(response.data.hasMore)
-      
-      if (!refresh) {
-        catsStore.nextPage()
+      if (response.success && response.data) {
+        const cats = (response.data || []).map(cat => ({
+          ...cat,
+          createdAt: new Date(cat.createdAt)
+        }))
+        catsStore.setMyCats(cats)
+        catsStore.setHasMore(false)
       }
     }
   } catch (error) {
@@ -286,9 +290,10 @@ const viewDetail = (catId: string) => {
 // 加载用户收藏
 const loadFavorites = async () => {
   try {
-    const response = await get<{ favorites: { catId: string }[] }>('/favorites')
+    const response = await get<Cat[]>('/favorites')
     if (response.success && response.data) {
-      favoritedIds.value = new Set(response.data.favorites.map(f => f.catId))
+      const cats = Array.isArray(response.data) ? response.data : []
+      favoritedIds.value = new Set(cats.map(c => (c as any)._id || c.id))
     }
   } catch (error) {
     console.error('Failed to load favorites:', error)
@@ -297,17 +302,7 @@ const loadFavorites = async () => {
 
 // 加载用户投票历史
 const loadVoteHistory = async () => {
-  try {
-    const response = await get<{ votes: { catId: string, type: 'like' | 'dislike' }[] }>('/votes/mine')
-    if (response.success && response.data) {
-      response.data.votes.forEach(v => {
-        voteStatus.value.set(v.catId, v.type)
-      })
-    }
-  } catch (error) {
-    // 投票历史接口可能不存在，忽略错误
-    console.log('Vote history not available')
-  }
+  // 服务端暂无投票历史查询接口，跳过
 }
 
 onMounted(() => {
diff --git a/miniprogram/src/pages/index/index.vue b/miniprogram/src/pages/index/index.vue
index e56600f..ec9f9ad 100644
--- a/miniprogram/src/pages/index/index.vue
+++ b/miniprogram/src/pages/index/index.vue
@@ -142,6 +142,15 @@ const clearCanvas = () => {
 const handleSubmit = () => {
   if (!canSubmit.value) return
   
+  // 未登录时跳转到个人页登录
+  if (!userStore.isLoggedIn) {
+    uni.showToast({ title: '请先登录', icon: 'none' })
+    setTimeout(() => {
+      uni.switchTab({ url: '/pages/profile/profile' })
+    }, 1000)
+    return
+  }
+  
   // 提供触觉反馈（需求 10.1）
   hapticFeedback('medium')
   
diff --git a/miniprogram/src/pages/profile/profile.vue b/miniprogram/src/pages/profile/profile.vue
index bba8a8b..1ab37ae 100644
--- a/miniprogram/src/pages/profile/profile.vue
+++ b/miniprogram/src/pages/profile/profile.vue
@@ -140,7 +140,7 @@
 <script setup lang="ts">
 import { ref, onMounted } from 'vue'
 import { useUserStore } from '@/stores/user'
-import { get, put, post } from '@/utils/api'
+import { get, put, post, setToken, clearToken } from '@/utils/api'
 import { hapticFeedback, showSuccess, showError, showLoading, hideLoading } from '@/utils/feedback'
 import { showErrorToast } from '@/utils/error-handler'
 
@@ -175,16 +175,18 @@ const handleLogin = async () => {
     
     // 调用后端登录 API
     const response = await post<{
-      openId: string
-      nickname: string
-      avatarUrl: string
-      totalCats: number
-      totalLikes: number
-      totalFavorites: number
+      token: string
+      user: {
+        openId: string
+        nickname: string
+        avatarUrl: string
+      }
     }>('/auth/login', { code: loginResult.code })
     
     if (response.success && response.data) {
-      userStore.setUser(response.data)
+      // 保存 JWT token
+      setToken(response.data.token)
+      userStore.setUser(response.data.user)
       hideLoading()
       showSuccess('登录成功')
     }
@@ -311,6 +313,7 @@ const handleLogout = () => {
     confirmColor: '#ff4444',
     success: (res) => {
       if (res.confirm) {
+        clearToken()
         userStore.logout()
         uni.showToast({ title: '已退出登录', icon: 'none' })
       }
diff --git a/miniprogram/src/utils/ai-recognition.ts b/miniprogram/src/utils/ai-recognition.ts
index 33b4a5b..6401def 100644
--- a/miniprogram/src/utils/ai-recognition.ts
+++ b/miniprogram/src/utils/ai-recognition.ts
@@ -48,8 +48,6 @@ export async function analyzeImage(imageData: string): Promise<RecognitionResult
     if (imageData.startsWith('file://') || imageData.startsWith('/') || imageData.startsWith('http://tmp') || imageData.startsWith('wxfile://')) {
       base64Data = await fileToBase64(imageData)
     }
-    
-    console.log('[ai-recognition] sending imageData, length:', base64Data.length, 'starts with:', base64Data.substring(0, 30))
 
     const response = await post<RecognitionResult>('/recognition', {
       imageData: base64Data
@@ -89,7 +87,6 @@ async function fileToBase64(filePath: string): Promise<string> {
       encoding: 'base64',
       success: (res: any) => {
         const base64 = typeof res.data === 'string' ? res.data : ''
-        console.log('[ai-recognition] base64 length:', base64.length)
         resolve(`data:image/png;base64,${base64}`)
       },
       fail: (err: any) => {
diff --git a/server/src/services/recognition.service.test.ts b/server/src/services/recognition.service.test.ts
index a430dad..6f54239 100644
--- a/server/src/services/recognition.service.test.ts
+++ b/server/src/services/recognition.service.test.ts
@@ -191,8 +191,8 @@ describe('Unit Tests: Recognition Service', () => {
       expect(result.suggestion).toBeUndefined()
     })
 
-    it('should set isValid to false when similarity < 60', () => {
-      const result = createRecognitionResult(59.9)
+    it('should set isValid to false when similarity < 30', () => {
+      const result = createRecognitionResult(29.9)
       expect(result.isValid).toBe(false)
       expect(result.suggestion).toBe(RECOGNITION_CONFIG.LOW_SIMILARITY_SUGGESTION)
     })
diff --git a/server/src/services/recognition.service.ts b/server/src/services/recognition.service.ts
index f1c7f24..6e22541 100644
--- a/server/src/services/recognition.service.ts
+++ b/server/src/services/recognition.service.ts
@@ -402,22 +402,33 @@ async function analyzeImageFeatures(imageData: string): Promise<number> {
 
     const buf = Buffer.from(base64, 'base64')
     
-    // 获取 64x64 灰度图用于特征分析
+    // 获取 64x64 RGB 图用于特征分析（保留颜色信息）
     const pixelBuf = await sharp(buf)
       .resize(64, 64, { fit: 'contain', background: { r: 255, g: 255, b: 255, alpha: 1 } })
-      .grayscale()
+      .removeAlpha()
       .raw()
       .toBuffer()
 
     const size = 64
     let score = 0
 
+    // 辅助函数：检测像素是否为笔画（非白色）
+    // RGB 三通道中任一通道偏离白色即视为笔画
+    const isStroke = (idx: number): boolean => {
+      const r = pixelBuf[idx * 3]
+      const g = pixelBuf[idx * 3 + 1]
+      const b = pixelBuf[idx * 3 + 2]
+      // 任一通道 < 230 就算有颜色
+      return r < 230 || g < 230 || b < 230
+    }
+
     // 1. 笔画密度（有画东西就给分）
     let darkPixels = 0
-    for (let i = 0; i < pixelBuf.length; i++) {
-      if (pixelBuf[i] < 200) darkPixels++
+    const totalPixels = size * size
+    for (let i = 0; i < totalPixels; i++) {
+      if (isStroke(i)) darkPixels++
     }
-    const density = darkPixels / (size * size)
+    const density = darkPixels / totalPixels
     // 密度在 5%-40% 之间最像手绘（太少=没画，太多=涂满了）
     if (density >= 0.05 && density <= 0.5) {
       score += Math.min(20, density * 100)
@@ -429,30 +440,30 @@ async function analyzeImageFeatures(imageData: string): Promise<number> {
     let topHalf = 0
     for (let y = 0; y < size / 2; y++) {
       for (let x = 0; x < size; x++) {
-        if (pixelBuf[y * size + x] < 200) topHalf++
+        if (isStroke(y * size + x)) topHalf++
       }
     }
-    const topDensity = topHalf / (size * size / 2)
+    const topDensity = topHalf / (totalPixels / 2)
     if (topDensity > 0.02) score += 10
 
     // 3. 下半部分有内容（猫身/腿）
     let bottomHalf = 0
     for (let y = size / 2; y < size; y++) {
       for (let x = 0; x < size; x++) {
-        if (pixelBuf[y * size + x] < 200) bottomHalf++
+        if (isStroke(y * size + x)) bottomHalf++
       }
     }
-    const bottomDensity = bottomHalf / (size * size / 2)
+    const bottomDensity = bottomHalf / (totalPixels / 2)
     if (bottomDensity > 0.02) score += 10
 
     // 4. 左右都有内容（完整的身体）
     let leftHalf = 0, rightHalf = 0
     for (let y = 0; y < size; y++) {
       for (let x = 0; x < size / 2; x++) {
-        if (pixelBuf[y * size + x] < 200) leftHalf++
+        if (isStroke(y * size + x)) leftHalf++
       }
       for (let x = size / 2; x < size; x++) {
-        if (pixelBuf[y * size + x] < 200) rightHalf++
+        if (isStroke(y * size + x)) rightHalf++
       }
     }
     if (leftHalf > 0 && rightHalf > 0) score += 10
@@ -461,13 +472,13 @@ async function analyzeImageFeatures(imageData: string): Promise<number> {
     let transitions = 0
     for (let y = 0; y < size; y++) {
       for (let x = 1; x < size; x++) {
-        const prev = pixelBuf[y * size + x - 1] < 200
-        const curr = pixelBuf[y * size + x] < 200
+        const prev = isStroke(y * size + x - 1)
+        const curr = isStroke(y * size + x)
         if (prev !== curr) transitions++
       }
     }
     // 猫的轮廓应该有适度的复杂度
-    const complexity = transitions / (size * size)
+    const complexity = transitions / totalPixels
     if (complexity > 0.05) score += 15
     if (complexity > 0.1) score += 10
 
@@ -478,7 +489,7 @@ async function analyzeImageFeatures(imageData: string): Promise<number> {
     for (let y = 0; y < size; y += 4) {
       let rowStart = -1
       for (let x = 0; x < size; x++) {
-        if (pixelBuf[y * size + x] < 200) {
+        if (isStroke(y * size + x)) {
           rowStart = x
           break
         }
diff --git a/server/src/utils/validation.test.ts b/server/src/utils/validation.test.ts
index 225765f..0a9cb8b 100644
--- a/server/src/utils/validation.test.ts
+++ b/server/src/utils/validation.test.ts
@@ -132,8 +132,8 @@ describe('Property Tests: Validation Functions', () => {
    * 对于任意相似度分数，当分数>=60%时按钮应激活，当分数<60%时按钮应禁用。
    */
   describe('Property 7: 相似度阈值按钮状态', () => {
-    it('should activate button when similarity >= 60', () => {
-      const aboveThresholdArb = fc.double({ min: 60, max: 100, noNaN: true })
+    it('should activate button when similarity >= 30', () => {
+      const aboveThresholdArb = fc.double({ min: 30, max: 100, noNaN: true })
 
       fc.assert(
         fc.property(aboveThresholdArb, (similarity) => {
@@ -143,8 +143,8 @@ describe('Property Tests: Validation Functions', () => {
       )
     })
 
-    it('should disable button when similarity < 60', () => {
-      const belowThresholdArb = fc.double({ min: 0, max: 59.99999, noNaN: true })
+    it('should disable button when similarity < 30', () => {
+      const belowThresholdArb = fc.double({ min: 0, max: 29.99999, noNaN: true })
 
       fc.assert(
         fc.property(belowThresholdArb, (similarity) => {
@@ -154,10 +154,10 @@ describe('Property Tests: Validation Functions', () => {
       )
     })
 
-    it('should handle exact threshold value (60)', () => {
-      expect(isSimilarityAboveThreshold(60)).toBe(true)
-      expect(isSimilarityAboveThreshold(59.9)).toBe(false)
-      expect(isSimilarityAboveThreshold(60.1)).toBe(true)
+    it('should handle exact threshold value (30)', () => {
+      expect(isSimilarityAboveThreshold(30)).toBe(true)
+      expect(isSimilarityAboveThreshold(29.9)).toBe(false)
+      expect(isSimilarityAboveThreshold(30.1)).toBe(true)
     })
   })
 })
@@ -231,16 +231,16 @@ describe('Unit Tests: Validation Functions', () => {
   })
 
   describe('isSimilarityAboveThreshold - Boundary Values', () => {
-    it('should return false for 59.9%', () => {
-      expect(isSimilarityAboveThreshold(59.9)).toBe(false)
+    it('should return false for 29.9%', () => {
+      expect(isSimilarityAboveThreshold(29.9)).toBe(false)
     })
 
-    it('should return true for 60%', () => {
-      expect(isSimilarityAboveThreshold(60)).toBe(true)
+    it('should return true for 30%', () => {
+      expect(isSimilarityAboveThreshold(30)).toBe(true)
     })
 
-    it('should return true for 60.1%', () => {
-      expect(isSimilarityAboveThreshold(60.1)).toBe(true)
+    it('should return true for 30.1%', () => {
+      expect(isSimilarityAboveThreshold(30.1)).toBe(true)
     })
 
     it('should return false for 0%', () => {