diff --git a/paddlex/inference/pipelines/table_recognition/table_recognition_post_processing_v2.py b/paddlex/inference/pipelines/table_recognition/table_recognition_post_processing_v2.py
index 02cbdff95d..6f1f312eec 100644
--- a/paddlex/inference/pipelines/table_recognition/table_recognition_post_processing_v2.py
+++ b/paddlex/inference/pipelines/table_recognition/table_recognition_post_processing_v2.py
@@ -262,7 +262,7 @@ def get_html_result(
     return html
 
 
-def sort_table_cells_boxes(boxes):
+def sort_table_cells_boxes(boxes, overlap_threshold=0.5):
     """
     Sort the input list of bounding boxes.
 
@@ -273,33 +273,37 @@ def sort_table_cells_boxes(boxes):
         sorted_boxes (list of lists): The list of bounding boxes sorted.
     """
 
+    def is_same_row(box1, box2):
+        _, y1a, _, y2a = box1
+        _, y1b, _, y2b = box2
+        overlap = max(0, min(y2a, y2b) - max(y1a, y1b))
+        min_height = min(y2a - y1a, y2b - y1b)
+        if min_height <= 0:
+            return False
+        return overlap / min_height >= overlap_threshold
+
     boxes_sorted_by_y = sorted(boxes, key=lambda box: box[1])
+
     rows = []
-    current_row = []
-    current_y = None
-    tolerance = 10
-    for box in boxes_sorted_by_y:
-        x1, y1, x2, y2 = box
-        if current_y is None:
+    current_row = [boxes_sorted_by_y[0]]
+
+    for box in boxes_sorted_by_y[1:]:
+        if is_same_row(current_row[-1], box):
             current_row.append(box)
-            current_y = y1
         else:
-            if abs(y1 - current_y) <= tolerance:
-                current_row.append(box)
-            else:
-                current_row.sort(key=lambda x: x[0])
-                rows.append(current_row)
-                current_row = [box]
-                current_y = y1
+            current_row.sort(key=lambda x: x[0])
+            rows.append(current_row)
+            current_row = [box]
     if current_row:
         current_row.sort(key=lambda x: x[0])
         rows.append(current_row)
+
     sorted_boxes = []
     flag = [0]
-    for i in range(len(rows)):
-        sorted_boxes.extend(rows[i])
-        if i < len(rows):
-            flag.append(flag[i] + len(rows[i]))
+    for row in rows:
+        sorted_boxes.extend(row)
+        flag.append(flag[-1] + len(row))
+
     return sorted_boxes, flag