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بازشناسی ارقام دستنویس فارسی مبتنی بر ترکیب ماشینهای بردار پشتیبان به روش فازی نوع دو بازه ای | ||
پردازش سیگنال پیشرفته | ||
مقاله 8، دوره 4، شماره 2 - شماره پیاپی 6، آذر 1399، صفحه 251-262 اصل مقاله (1.14 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22034/jasp.2021.13580 | ||
نویسندگان | ||
آذر محمودزاده* ؛ حامد آگاهی | ||
1- گروه مهندسی برق- واحد شیراز، دانشگاه آزاد اسلامی- شیراز- ایران | ||
چکیده | ||
مساله بازشناسی خودکار محتوای دستنوشتهها، همواره مورد توجه بسیاری از محققان بوده است. در این مقاله، یک سیستم ترکیبی برای افزایش دقت تشخیص ارقام دستنویس فارسی ارائه شده است. روش پیشنهادی شامل یک فرایند آمادهسازی و دو مرحله اصلی است. در فرایند آماده سازی، چندین عملیات پیش پردازش بر روی تصاویر انجام شده و پس از استخراج ویژگیها، از الگوریتم بهینهسازی اجتماع ذرات چندهدفه برای انتخاب ویژگیهای مؤثر استفاده شده است. آنگاه متناظر هر تصویر، این ویژگیهای بهینه به عنوان داده ورودی به طبقهبندها داده میشود. در مرحله اصلی اول، به کمک مجموعه دادههای یادگیری، سه ماشین بردار پشتیبان مختلف ساخته میشود. برای دستیابی به نتایج بهتر، الگوریتم جستجوی گرانشی بهترین جِرم تطبیقی، برای تنظیم پارامترهای این ماشینها به کار گرفته شده است. در مرحله اصلی دوم، یک سیستم استنتاج فازی نوع دو بازهای، خروجیهای سه ماشین بردار پشتیبان را دریافت میکند و با ترکیب آنها، تخمین دقیقتری از عدد موجود در تصویر ارائه میدهد. نتایج اِعمال روش پیشنهادی به مساله بازشناسی ارقام دستنویس فارسی اسکن شده در پایگاه داده استاندارد HODA نشان داده است که این الگوریتم در مقایسه با سایر روشهای موجود، دارای مقادیر بالای دقت، صحت و فراخوان میباشد. | ||
کلیدواژهها | ||
ارقام دستنویس فارسی؛ انتخاب ویژگی؛ ترکیب طبقه بندها؛ سیستم استنتاج فازی نوع دو بازه ای؛ طبقه بندی | ||
مراجع | ||
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