کنفرانس مهندسی برق ایران

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 Kenari¹ Ehsanollah Kabir²

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

High Performance and Low Power Spintronic Binarized Neural Network Hardware Accelerator

Milad Tanavardi Nasab - Arefe Amirany - Mohammad Hossein Moaiyeri - Kian Jafari

Human Action Recognition in Still Images Using ConViT

Seyed Rohollah Hosseyni - Sanaz Seyedin - Hassan Taheri

کنترل دوز داروی بیماران مبتلا به لوسمی با استفاده از روشی نوین بر پایه یادگیری تقویتی عمیق

مریم افخمی - امین نوری

Improved Spectral Efficiency of RIS-aided 6G Communication using Deep Learning

Zahra Zahedi - Mehrdad Ardebilipur - Fatemeh Dehrouye

Electronic properties of 2D perovskites NMA2PbBr4 and NEA2PbBr4 for PeLED applications: first principle approach

Samad Shokouhi - Seyedeh bita Saadatmand - Vahid Ahmadi

An Integrated Technical Analysis and Machine Learning Trading Model for Noisy and Volatile Financial Markets

Arvin Esfandiari - Ali Doustmohammadi

A High Linearity Wideband Low-Noise Amplifier Using Capacitor Cross-Coupled Common-Gate Structure

Abolfazl Rajaiyan - Fahimeh Rahimi - Mehdi Saberi

Kernel-Based Band Selection for Hyperspectral Image Classification

Mehdi Kamandar

ارائه یک مبدل DC-DC منبع امپدانسی تک سوئیچه تک هسته مغناطیسی فوق افزاینده مناسب برای استفاده در کاربرد های انرژی نو

معصومه پرستش - سجاد رستمی

Unveiling Enhanced Image Quality in Sparse-View CT with OSEM- ANLM Algorithm

Sayna Jamaati - Seyed Abolfazl Hosseini - Mohammad Ghorbanzadeh - Hossein Arabi

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2