0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Spotting of a Particular Printed Word in Farsi Handwritten Forms Using Deep Learning
نویسندگان :
Mohammad jafar Gholami Kenari
1
Ehsanollah Kabir
2
1- دانشگاه تربیت مدرس تهران
2- دانشگاه تربیت مدرس تهران
کلمات کلیدی :
Word Spotting،Mask R-CNN،Anchors،Data Augmentation،Farsi،Persian
چکیده :
Keyword spotting in documents plays a crucial role in information retrieval and document analysis. Recent years have witnessed significant progress in keyword spotting through deep learning methods. This paper introduces a method that utilizes a pre-trained Mask R-CNN with transfer learning to spot the printed keyword “تاریخ” in the printed forms filled in handwriting. To address data scarcity and enhance the network's performance, data augmentation methods are employed. Additionally, specific to the keyword “تاریخ”, adjustments such as changes in the dimensions and aspect ratio of anchors, are implemented in the region proposal network (RPN). The results illustrate that the proposed method achieves a mean Average Precision (mAP) of 98.1 percent
لیست مقالات
لیست مقالات بایگانی شده
Optimal Placement of Followers Within the Convex Hull of Leaders: A Distributed Subgradient Approach
Seyedeh Mahsa Zakipour Bahambari - Saeed Khankalantary
Optimization of Fifth Order Band-Pass Ladder Filter and Statistical Analysis of Reverse Problem
Sayyed Ali Alizadeh - Mahmoud Kamarei
Innovative MOEMS Biosensor for Hepatitis DNA Detection Utilizing an Optical Ring Resonator
Hossein Bahramian - Arash Yazdanpanah Goharrizi
Noninvasive Diagnosis of the Type of Breast Tumor through Artificial Neural Networks
Pooya Tahmasebi - Maryam Mehdizadeh Dastjerdi - Ali Fallah - Saeid Rashidi
تعیین نقشه راه مناسب شرکتهای توزیع کشور در زمینه مدیریت سمت تقاضا
محمدرحیم محمدی
کاربرد امواج فراصوت در ترومبولسیس لخته خون به عنوان درمان غیرتهاجمی
مریم بیات - شکراله کریمیان - اسفندیار مهرشاهی
Design and Implementation of a fast flexible and efficient multichannel digital filter for hearing aids
Mohammadsadegh Poushnegar - Mahmoud Tabandeh - Meysam Nesary Moghadam - Farzam Gilani - Ali Aghakasiri
A reinforcement learning-based control approach for tracking problem of a class of nonlinear systems: Applied to a Single-Link Manipulator
Farshad Rahimi - Sepideh Ziaei - Reza Mahboobi Esfanjani
Multi-Attribute Decision-Making Methods to a Cloud Service Providing Selection
Amirhossein Shahbakhsh razavi - Kiumars Javan - Mehdi Zaferanieh - Somayeh Sobati-Moghadam
Design and Modeling of Graphene Based Electro-absorption Modulator Integrated with Hybrid Plasmonic Waveguides
Hadi Soofi - Shima Karkon Bagheri - Hamid Vahed
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
