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liuwuliuyun · May 30, 2018 · 6b758b6 · 6b758b6
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diff --git a/figure/chap2/4.png b/figure/chap2/4.png
diff --git a/tex/abstract.tex b/tex/abstract.tex
@@ -20,7 +20,7 @@
 
 \begin{englishabstract}
 
-Approximate search is a type of search method that searches for the same or similar data. This paper focuses on the approximate search of large-scale face data, from the aspects of face detection, feature extraction and vector matching, and finally implements a complete imperceptible face recognition system.
+Fuzzy search is a type of search method that searches for the same or similar data. This paper focuses on the fuzzy search of large-scale face data, from the aspects of face detection, feature extraction and vector matching, and finally implements a complete imperceptible face recognition system.
 
 Imperceptible face recognition system is a face recognition system which does not require intentional cooperation from users. This system pulls live images of faces from surveillance cameras at first. Then it performs face detection, face counting and face recognition to get face embeddings. Finally, it matches face embeddings to database contents. This system can be widely used for student attendance management and access control in companies. Since this system does not rely on users’ cooperation, the facial images received would be angled, blurred and occluded, which makes detection and recognition very challenging.
 
@@ -30,6 +30,6 @@
 
 We present our system’ s data architecture, physical architecture and logical architecture at the end. This architecture design keeps imperceptible face recognition system efficient, stable and scalable.
 
-\englishkeywords{\large approximate search, imperceptible face detection, large-scale data, vector matching, deep-learning}
+\englishkeywords{\large fuzzy search, imperceptible face detection, large-scale data, vector matching, deep-learning}
 \end{englishabstract}
 
diff --git a/tex/chap2.tex b/tex/chap2.tex
@@ -78,7 +78,7 @@ \subsubsection{处理速度}
 
 \begin{figure}[!htp]
 	\centering
-	\includegraphics[height=7cm]{chap2/4.jpg}
+	\includegraphics[height=7cm]{chap2/4.png}
 	\bicaption{scaleFactor与minNeighbor参数对于处理速度的影响}{How parameter scaleFactor and minNeighbor affects processing speed}
 	\label{fig:haartest:speed}
 \end{figure}

diff --git a/tex/end_english_abstract.tex b/tex/end_english_abstract.tex
@@ -1,7 +1,7 @@
 %# -*- coding: utf-8-unix -*-
 \begin{bigabstract}
 
-Approximate search is a type of search method that searches for the same or similar data. This paper focuses on the approximate search of large-scale face data, from the aspects of face detection, feature extraction and vector matching, and finally implements a complete imperceptible face recognition system.
+Fuzzy search is a type of search method that searches for the same or similar data. This paper focuses on the fuzzy search of large-scale face data, from the aspects of face detection, feature extraction and vector matching, and finally implements a complete imperceptible face recognition system.
 
 Imperceptible face recognition system is a face recognition system which does not require intentional cooperation from users. This system can be widely used for student attendance management and access control in companies because it requires less human resources and is time-efficient. 
 

diff --git a/tex/id.tex b/tex/id.tex
@@ -9,7 +9,7 @@
 \studentnumber{5140309455}
 \major{计算机科学与技术}
 
-\englishtitle{Efficient approximate search of large-scale data}
+\englishtitle{Efficient fuzzy search of large-scale data}
 \englishauthor{\textsc{Yun Liu}}
 \englishadvisor{Prof. \textsc{Yao Shen}}
 % \englishcoadvisor{Prof. \textsc{Uom Uom}}