این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Artificial Intelligence and Data Mining، جلد ۴، شماره ۱، صفحات ۹-۱۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs
چکیده انگلیسی مقاله For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer parallel processing power. This paper introduces one of the best feature extraction methods for the handwritten recognition, called DPP (Derivative Projection Profile), which is employed for isolated Persian handwritten recognition. In addition to achieving good results, this (computationally) light feature can easily be processed. Moreover, Hamming Neural Network is used to classify this system. To increase the speed, some part of the recognition method is executed on GPU (graphic processing unit) cores implemented by CUDA platform. HADAF database (Biggest isolated Persian character database) is utilized to evaluate the system. The results show 94.5% accuracy. We also achieved about 5.5 times speed-up using GPU.
کلیدواژه‌های انگلیسی مقاله OCR,Projection Profile,Parallel Algorithms,GPU,CUDA
نویسندگان مقاله m عسکری |
department of computer engineering, university of kashan, kashan, iran
سازمان اصلی تایید شده: دانشگاه کاشان (Kashan university)

m اسدی |
department of computer engineering, university of kashan, kashan, iran.
سازمان اصلی تایید شده: دانشگاه کاشان (Kashan university)

a اصیلیان بیدگلی | asilian bidgoli
department of computer engineering, university of kashan, kashan, iran.
سازمان اصلی تایید شده: دانشگاه کاشان (Kashan university)

h ابراهیم پور |
department of computer engineering, university of kashan, kashan, iran.
سازمان اصلی تایید شده: دانشگاه کاشان (Kashan university)

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_535_4bbe3e61bda40b4af138b704ad6a3bc1.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات