57 citations · 115 across the 11 of their papers we have counts for
11 papers
Evaluating the Impact of Khmer Font Types on Text Recognition
Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2
Text recognition is significantly influenced by font types, especially for complex scripts like Khmer. The variety of Khmer fonts, each with its unique character structure, present…
KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2
Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced l…
ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection
Zuheng Ming, Zitong Yu, Musab Al-Ghadi +3
Face Presentation Attack Detection (PAD) is an important measure to prevent spoof attacks for face biometric systems. Many works based on Convolution Neural Networks (CNNs) for fac…
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
Konstantin Bulatov, Ekaterina Emelianova, Daniil Tropin +8
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as…
A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
Zuheng Ming, Muriel Visani, Muhammad Muzzamil Luqman +1
The widespread deployment of face recognition-based biometric systems has made face Presentation Attack Detection (face anti-spoofing) an increasingly critical issue. This survey t…
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman
Face recognition of realistic visual images has been well studied and made a significant progress in the recent decade. Unlike the realistic visual images, the face recognition of…
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions
Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman +1
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy a…
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
Benefiting from the joint learning of the multiple tasks in the deep multi-task networks, many applications have shown the promising performance comparing to single-task learning.…
FaceLiveNet+: A Holistic Networks For Face Authentication Based On Dynamic Multi-task Convolutional Neural Networks
Zuheng Ming, Junshi Xia, Muhammad Muzzamil Luqman +2
This paper proposes a holistic multi-task Convolutional Neural Networks (CNNs) with the dynamic weights of the tasks,namely FaceLiveNet+, for face authentication. FaceLiveNet+ can…
Employing fuzzy intervals and loop-based methodology for designing structural signature: an application to symbol recognition
Muhammad Muzzamil Luqman, Mathieu Delalandre, Thierry Brouard +2
Motivation of our work is to present a new methodology for symbol recognition. We support structural methods for representing visual associations in graphic documents. The proposed…
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yves Ramel
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image ana…