近年來臺灣地區汽機車成長快速,根據民國九十七年四月交通部統計機動
車輛數量已達兩千零八十四萬零三輛, 為此汽、機車數量暴增而產生的車輛管
理問題, 例如車輛的違規及失竊等, 在目前交通控管中車牌辨識是其中極為重
要的一環, 例如公共場所皆附設停車場管理、道路、收費橋樑等車輛監控點每
日所需管理的汽車數量又十分繁多所以若能達到車輛牌照的自動化紀錄管理,
可有效節省人力資源; 而在停車場自動化管理中, 是必須能分辨不同車輛獨立
車牌識別的英文數字代碼。
而本論文主要是基於在停車場自動化管理辨識中去發展一套有效的車牌
辨識系統, 由於實際辨識的環境如果在室外, 則容易遭遇背景環境較複雜的情
況, 如樹木、招牌和交通號誌等都容易車牌定位上的困難, 因此本研究提出具
有適應環境背景複雜能力的定位與辨識系統, 對管理車輛進出時自動記錄車
牌的英文和數字是停車場自動化管理的關鍵, 利用發展自動化車牌辨識系統
去取代人工的停車場紀錄車牌這部份的人力。本研究的車牌辨識系統分為三
部份, 首先為車牌定位接下為字元切割最後為字元辨識, 並在不設限的自然環
境下, 例如天氣和車牌污損不嚴重的情形下, 使用實驗室現有的Logitech Webcam
和PENTAX S4數位相機結合筆記型電腦Dell XPSM1530 去做運算處理,
在學校的第二停車場隨機擷取往來及停放的車輛車牌, 並利用Borland C++
撰寫程式結合硬體進行各種車輛定位辨識的影像處理。

A rapid growth of the numbers of automobiles in Taiwan . According to the
Ministry of Communications of Republic of China’s report in April, counted the
motor vehicle quantity is 20,840. The associated problems with the rapid growth of
vehicles such as traffic violation, stolen vehicles, and so on, present great challenge
to the government. Currently, the most important task in transportation controls
is the automobile license recognition. For instance, if monitoring point can be set
up in all public places, then parking lot management, typical road, bridge booth,
and etc then efficiency in human resources can be improved as license plate record
can be managed automatically. In the parking lot automation management, it is
a must to be able to distinguish different vehicles’ license plate by recognizing the
English numeric code.
This thesis discusses mainly on the develops an effective license plate recognition
system for parking lot automation management. If we take the pictures
outside, it is also known for their complex background objects such as trees, billboards,
traffic signs, etc. In this study, a system is proposed for multi-target
vehicle license recognition. The recognition of English and the numeral is the key
for parking lot automation management, as it replaces manpower. This developed
of car license recognition system can be divided into three parts. The first part
is the car license localization, the second part is the cutting of character Yuan,
and lastly it is the recognition of the character Yuan. In the mean time, the utilization
of existing Logitech Webcam and PENTAX the S4 in laboratory under
perfect weather, stochastically picks up the vehicles car license in the school second
parking lot which the intercourse and parks, and composes the formula union
hardware using Borland C++ to carry on image processing which each kind of
vehicles localization recognizes.

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