在車輛相關的犯罪調查中車牌已被認定為最重要的資訊,例如:贓車查緝等。以往傳統的調查案件必須透過調查員(警察)手動輸入可疑車輛的車牌號碼至贓車系統,此步驟不僅耗費人力而且制式化的動作使人繁瑣乏味。本研究考量行車紀錄器的錄影功能,以及巡邏車(警車)取締贓車的資訊,提出一套「巡邏車輛之自動車牌辨識系統」,主要是根據巡邏車針對路邊停車之車輛進行自動化的車牌辨識,本系統分為硬體配置及軟體開發兩個部分,並針對這兩個部分進行詳細的說明。技術方面包含:車牌定位、車牌校正、字元切割和字元辨識,根據這些技術本系統在車牌定位和字元辨識上,不管是車牌偵測率和字元辨識率皆可達90%以上。總而言之,本系統可以結合無線通訊技術查詢車輛的相關資訊,並且協助關於車輛的犯罪案件進行調查。
License plates are considered the first important information for vehicle-related crime investigation (e.g., vehicle theft, etc.). Conventional investigation requires the investigator (policeman) to manually enter the license plate number for suspicious vehicles which remains tedious and labor-intensive. The objective of this study was to develop an Automatic license plate recognition system for patrolling vehicles. We explored the idea to provide an automatic system by installing a surveillance camera (e.g., a vehicle video recorder) on a patrolling vehicle (e.g., police car). The system can be described in two phases, namely hardware configuration and software development. Technical approaches included: License Plate Localization, License Plate Correction, Character Segmentation, and Character Recognition. Overall, our system could achieve the license plate localization and character recognition of over 90%. In summary, our system could be incorporated in an integrated system with wireless communication for querying the vehicles’ information to assist the vehicle-related crime investigation.
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