A review on document image analysis techniques directly in the compressed domain

M Javed, P Nagabhushan, BB Chaudhuri - Artificial Intelligence Review, 2018 - Springer
The rapid growth of digital libraries, e-governance, and internet based applications has
caused an exponential escalation in the volume of 'Big-data'particularly due to texts, images …

[图书][B] Handbook of deep learning applications

VE Balas, SS Roy, D Sharma, P Samui - 2019 - Springer
Handbook of deep learning applications Smart Innovation, Systems and Technologies 136
Valentina Emilia Balas Sanjiban Sekhar Roy Dharmendra Sharma Pijush Samui Editors …

Text and non-text separation in offline document images: a survey

S Bhowmik, R Sarkar, M Nasipuri… - International Journal on …, 2018 - Springer
Separation of text and non-text is an essential processing step for any document analysis
system. Therefore, it is important to have a clear understanding of the state-of-the-art of …

Mtdeep: boosting the security of deep neural nets against adversarial attacks with moving target defense

S Sengupta, T Chakraborti, S Kambhampati - Decision and Game Theory …, 2019 - Springer
Present attack methods can make state-of-the-art classification systems based on deep
neural networks mis-classify every adversarially modified test example. The design of …

Automatic imagery Bank Cheque data extraction based on machine learning approaches: a comprehensive survey

N Thakur, D Ghai, S Kumar - Multimedia Tools and Applications, 2023 - Springer
Bank Cheques are used mainly for financial transactions due to which they are processed in
enormous amounts on daily basis around the globe. Often, Cheque execution time and …

Blockchain-based e-cheque clearing framework with trust based consensus mechanism

N Singh, T Kumar, M Vardhan - Cluster Computing, 2021 - Springer
The cheque based banking transactions are widely used all over the world. The reason is
that it is a hustle free and trusted way of money transaction. The existing cheque settlement …

Patch-based offline signature verification using one-class hierarchical deep learning

S Shariatmadari, S Emadi, Y Akbari - International Journal on Document …, 2019 - Springer
Automatic processing of offline signature verification (in general) can be considered as a low-
cost solution to problems in biometrics in comparison with other solutions (eg fingerprint …

Convolutional neural network architecture for offline handwritten characters recognition

S Hamida, B Cherradi, H Ouajji, A Raihani - Innovation in Information …, 2020 - Springer
Automatic handwriting recognition systems are a very wide-ranging research topic for many
years. This type of intelligent systems is applied in various fields: Checks processing, forms …

Multi‐dimensional long short‐term memory networks for artificial Arabic text recognition in news video

O Zayene, SM Touj, J Hennebert, R Ingold… - IET Computer …, 2018 - Wiley Online Library
This study presents a novel approach for Arabic video text recognition based on recurrent
neural networks. In fact, embedded texts in videos represent a rich source of information for …

Database development and recognition of handwritten Devanagari legal amount words

R Jayadevan, SR Kolhe, PM Patil… - … Conference on Document …, 2011 - ieeexplore.ieee.org
A dataset containing 26,720 handwritten legal amount words written in Hindi and Marathi
languages (Devanagari script) is presented in this paper along with a training-free technique …