Development of unconstrained handwritten digit extraction, segmentation and recognition on bank cheques using artificial neural network

QR Code

Development of unconstrained handwritten digit extraction, segmentation and recognition on bank cheques using artificial neural network

This project is about the handwritten numerical strings that were extracted, segmented, and verified for bank cheques. This project has four objectives. The first objective is to make data collection for digitized handwritten courtesy amount on bank cheques. The second objective is to locate the...

Full description

Bibliographic Details
Main Author:	Francis, Adam
Format:	Student Project
Published:	Faculty of Information Technology and Quantitative Sciences 2005
Online Access:	https://ir.uitm.edu.my/id/eprint/638/

Similar Items

Recognition of the cursive handwritten courtesy amounts of Malaysian bank cheques.
by: Sulaiman, Md. Nasir, et al.
Published: (2001)

Single Slice Grouping Mechanism for Recognition of Cursive Handwritten Courtesy Amounts of Malaysian Bank Cheques
by: Sulaiman, Md. Nasir, et al.
Published: (2003)

A simple segmentation approach for unconstrained cursive handwritten words in conjunction with neural network
by: Khan, Amjad Rehman, et al.
Published: (2008)

Unconstrained handwritten character recognition based on fuzzy logic
by: Hanmandlu, M
Published: (2003)

FPGA implementation of handwritten number recognition using artificial neural network
by: Mittal, Harsh, et al.
Published: (2019)

Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)

Optical character recognition using backpropagation neural network for handwritten digit characters
by: Yap, Mei Ing, et al.
Published: (2021)

Higher Order Centralised Scale-Invariants for Unconstrained Isolated Handwritten Digits
by: Shamsuddin, Siti Mariyam
Published: (2000)

Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)

Improved Artificial Neural Network Classification Model based Metaheuristic Optimization for Handwritten Character Recognition
by: Muhammad Arif, Mohamad, et al.
Published: (2024)

Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition
by: Saleh Al-Wajih, Ebrahim Qasem
Published: (2022)

Bangla handwritten numeral recognition using convolutional neural network
by: Akhand, M. A. H, et al.
Published: (2015)

Bangla handwritten character recognition using convolutional neural network
by: Rahman, Md. Mahbubar, et al.
Published: (2015)

Development of English handwritten recognition using deep neural network
by: Gunawan, Teddy Surya, et al.
Published: (2018)

Reconstruction of handwritten digit images using autoencoder neural networks
by: C. C., Tan, et al.
Published: (2008)

Development of offline handwritten signature authentication using artificial neural network
by: Gunawan, Teddy Surya, et al.
Published: (2018)

Multiple convolutional neural network training for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)

Signature Verification And Forgery Detection Including Recognition Of Courtesy Amount In Cheques
by: Mohd Yusof, Mohd Hafizuddin
Published: (2005)

Offline handwritten character recognition using backpropagation neural network / Masnizah Mohadi
by: Mohadi, Masnizah
Published: (2005)

HMM-based Arabic handwritten word recognition via zone segmentation
by: Saber, Zerdoumi, et al.
Published: (2017)

An adaptive approach for Malay cheque words recognition using support vector machine
by: Al Boredi, Omar Noori Salih, et al.
Published: (2011)

Moment-based extraction on handwritten digits
by: Taliba, Jumail, et al.
Published: (2005)

Convolutional neural network based handwritten Bengali and Bengali-English mixed numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)

Forged cheques: duties of paying and collecting banks / Abd. Malek Ahmad
by: Ahmad, Abd. Malek
Published: (1985)

On-line Handwritten Character Recognition: An Implementation of Counterpropagation Neural Net
by: Zafar, Muhammad Faisal, et al.
Published: (2005)

Signature recognition using artificial neural network
by: Abushariah, Ahmad A. M., et al.
Published: (2011)

Texture recognition by using artificial neural network
by: Foong, Lee Sai
Published: (2013)

Digit recognition using neural networks
by: Tan, Chin Luh, et al.
Published: (2004)

Handwritten courtesy amount recognition
by: Chong, Yong Shean
Published: (2014)

Neural Nets for On-line Isolated Handwritten Character Recognition: A Comparative Study
by: Zafar, Muhammad Faisal, et al.
Published: (2006)

Face detection and recognition in an unconstrained environment
by: Chin, Ariana Sue Rei
Published: (2022)

Face recognition by artificial neural network using MATLAB
by: Mohamed, Abozar Atya, et al.
Published: (2021)

Hand Gesture Recognition Using Artificial Neural Networks
by: Mustafa, Mohd Amrallah
Published: (2007)

Online recognition system for handwritten Hindi digits based on matching alignment algorithm
by: Abuzaraida, Mustafa Ali, et al.
Published: (2014)

Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
by: Sahel Ba-Karait, Nasser Omer
Published: (2007)

Off line Arabic handwritten character using neural network
by: Shamsan, Ehab A., et al.
Published: (2017)

Recognition of isolated handwritten Arabic characters
by: Almansari, Osamah Abdulrahman, et al.
Published: (2019)

Convolutional neural network training incorporating rotation-based generated patterns and handwritten numeral recognition of major Indian scripts
by: Akhand, Md Aminul Haque, et al.
Published: (2018)

Unconstrained facial recognition systems: a review
by: Hassan, Marwa Yousif, et al.
Published: (2015)

Recognition of dengue disease patterns using artificial neural networks
by: Cetiner, Beytullah Gultekin, et al.
Published: (2009)