no code implementations • 2 Dec 2023 • Fatemeh Asadi-zeydabadi, Ali Afkari-Fahandari, Amin Faraji, Elham Shabaninia, Hossein Nezamabadi-pour
In light of these concerns, this paper aims to present a novel large-scale dataset, IDPL-PFOD2, tailored for Farsi printed text recognition.
1 code implementation • 13th International Conference on Computer and Knowledge Engineering (ICCKE) 2023 • Elham Shabaninia, Fatemeh sadat Eslami, Ali Afkari Fahandari, Hossein Nezamabadi-pour
This paper introduces a new large-scale dataset for Farsi document images, named SUT, which aims to tackle the challenges associated with obtaining diverse and substantial ground-truth data for supervised models in document image analysis (DIA) tasks, such as document image classification, text detection and recognition, and information retrieval.
Ranked #1 on Optical Character Recognition (OCR) on SUT
no code implementations • 29 Dec 2022 • Elham Shabaninia, Hossein Nezamabadi-pour, Fatemeh Shafizadegan
In vision-based action recognition, spatio-temporal features from different modalities are used for recognizing activities.
no code implementations • 29 Nov 2017 • Soroush Saryazdi, Bahareh Nikpour, Hossein Nezamabadi-pour
To overcome this issue, this paper proposes a new approach Neighbors Progressive Competition (NPC) for classification of imbalanced datasets.
no code implementations • 28 Apr 2015 • Hojjat Salehinejad, Hossein Nezamabadi-pour, Saeid Saryazdi, Fereydoun Farrahi-Moghaddam
In this paper a multi-parameter A*(A- star)-ants based algorithm is proposed in order to find the best optimized multi-parameter path between two desired points in regions.