ساخت مجموعه داده تصاویر برای تشخیص و بازشناسی متن در تصاویر
الموضوعات :
فاطمه علی مرادی
1
,
فرزانه رحمانی
2
,
لیلا ربیعی
3
,
محمد خوانساری
4
,
مجتبی مازوچی
5
1 - پژوهشگر پژوهشگاه ارتباطات و فناوری اطلاعات
2 - پژوهشگر پژوهشگاه ارتباطات و فناوری اطلاعات
3 - پژوهشگر پژوهشگاه ارتباطات و فناوری اطلاعات
4 - دانشگاه تهران
5 - پژوهشگاه ارتباطات و فناوری اطلاعات
الکلمات المفتاحية: تشخیص متن, بازشناسی متن, تصاویر متن منظره, مجموعه داده متن منظره فارسی, یادگیری عمیق,
ملخص المقالة :
تشخیص متن در تصاویر از مهم ترین منابع تحلیل محتوای تصاویر است. گرچه در زبان هایی همچون انگلیسی و چینی، تحقیقاتی در زمینه تشخیص و بازشناسی متن و ارائه مدله ای انتها به انتها (مدل هایی که تشخیص و بازشناسی در یک مدل واحد ارائه می شود) مبتنی بر یادگیری عمیق انجام شده است، اما برای زبان فارسی مانعی بسیار جدی برای توسعه چنین مدلهایی وجود دارد. این مانع، نبود مجموعه داده آموزشی با تعداد بالا برای مدلهای مبتنی بر یادگیری عمیق است. در این مقاله، ما ابزارهای لازم برای ساخت مجموعه داده تصاویر متن منظره با پارامترهایی همچون رنگ، اندازه، فونت و چرخش متن طراحی و ایجاد می کنیم. از این ابزارها برای تامین داده بزرگ و متنوع برای آموزش مدل های مبتنی بر یادگیری عمیق استفاده می شود. به کمک این ابزارها و تنوع تصاویر ساخته شده، مدل ها به نوع خاصی از این پارامترها وابسته نمی شوند و سبب جامعیت مدل ها می شود. 7603 تصویر متن منظره و 39660 تصویر کلمات بریده شده، ساخته شده است. مزیت روش ما نسبت به تصاویر واقعی، ساخت تصاویر به تعداد دلخواه و بدون نیاز به حاشیه نویسی دستی می باشد. طبق بررسی ما، این اولین مجموعه داده تصاویر متن منظره فارسی به صورت آزاد و با تعداد بالا است.
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