Character Partition. Normalization and Recognition Research of License Plate Recognition System

• Main Authors: Tash Jong-Jyh, 蔡宗志
• Other Authors: Pei-Chong Tang
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/15381096599400703564

碩士 === 國立交通大學 === 電機與控制工程系 === 87 === On the increase of car, so how to use automatic license plate recognition system for car''s conservation is important. Although the history of license plate recognition system research is long, the system still has many faults. In our study, we develop a license plate recognition system whose hardware and software update conveniently. The research of thesis focuses on Character Partition Horizontal Normalization and Recognition. The purpose of Horizontal Normalization is to cut the region that is out of the character horizontal edge. And let the horizontal of character are the same. After this process the character partition and recognition is simple. On the character partition research, we use two methods. One is using template map to partition the character of license plate. The other is using growing region method to partition the character. Both of those two methods have advantage and disadvantage. The result of our system is using growing region to partition the character of license plate. Because of this method has batter adaptability and correct percentage. Recognition is the last part in our process. Because of the size and shape of character is almost the same, so we use statistics to create the stander map character, and then recognition these character with map. But this method does not recognize the shape similar group like O. D. Q and 0. So we add shape and other particularity to redouble recognition. In our study the testing samples include 362 pieces of license plate image those were come form realistic parking lot''s monitorial system, wherefore our experimental inference is dependable and our implement system is realizable.