tailieunhanh - Báo cáo hóa học: " Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers | EURASIP Journal on Applied Signal Processing 2004 8 1125-1134 2004 Hindawi Publishing Corporation Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers Antonio Berlanga Departamento de Informatica EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email aberlan@ Juan A. Besada GPDS Departamento Senales Sistemas y Radiocomunicaciónes ESTIT Universidad Politecnica de Madrid 28040 Madrid Spain Email besada@ Jesus García Herrero Departamento de Informatica EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email jgherrer@ Jose M. Molina Departamento de Informatica EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email molina@ Javier I. Portillo GPDS Departamento Senales Sistemas y Radiocomunicaciónes ESTIT Universidad Politecnica de Madrid 28040 Madrid Spain Email javierp@ Joseí R. Casar GPDS Departamento Senales Sistemas y Radiocomunicaciónes ESTIT Universidad Politecnica de Madrid 28040 Madrid Spain Email jramon@ Received 18 December 2002 Revised 13 October 2003 Recommended for Publication by Sergios Theodoridis The design of statistical classification systems for optical character recognition OCR is a cumbersome task. This paper proposes a method using evolutionary strategies ES to evolve and upgrade the set of parameters in an OCR system. This OCR is applied to identity the tail number of aircrafts moving on the airport. The proposed approach is discussed and some results are obtained using a benchmark data set. This research demonstrates the successful application of ES to a difficult noisy and real-world problem. Keywords and phrases aircraft recognition evolutionary strategies for OCR statistical pattern classifier image processing. 1. INTRODUCTION We describe the design of an image-based aircraft identification system for an advanced surface movement guidance and control systems A-SMGCS 1