nabil ghanmi

About nabil ghanmi

nabil ghanmi, With an exceptional h-index of 8 and a recent h-index of 6 (since 2020), a distinguished researcher at Université de Lorraine, specializes in the field of Computer vision, Document Image Analysis, OCR, Fraud detection.

His recent articles reflect a diverse array of research interests and contributions to the field:

Synthetic dataset of ID and Travel Document

CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents

ID documents matching and localization with multi-hypothesis constraints

CheckSim: A reference-based identity document verification by image similarity measure

Data Augmentation vs. PyraD-DCNN: A Fast, Light, and Shift Invariant FCNN for Text Recognition

nabil ghanmi Information

University

Position

Ph-D Loria France

Citations(all)

172

Citations(since 2020)

113

Cited By

104

hIndex(all)

8

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

nabil ghanmi Skills & Research Interests

Computer vision

Document Image Analysis

OCR

Fraud detection

Top articles of nabil ghanmi

Synthetic dataset of ID and Travel Document

arXiv preprint arXiv:2401.01858

2024/1/3

CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documents

2023/9/11

Nabil Ghanmi
Nabil Ghanmi

H-Index: 5

ID documents matching and localization with multi-hypothesis constraints

2021/1/10

Nabil Ghanmi
Nabil Ghanmi

H-Index: 5

CheckSim: A reference-based identity document verification by image similarity measure

2021

Nabil Ghanmi
Nabil Ghanmi

H-Index: 5

Data Augmentation vs. PyraD-DCNN: A Fast, Light, and Shift Invariant FCNN for Text Recognition

2021

Nabil Ghanmi
Nabil Ghanmi

H-Index: 5

See List of Professors in nabil ghanmi University(Université de Lorraine)