Automated bank cheque verification using image processing and deep learning methods
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Radu Prodan | Christian Timmerer | Prateek Agrawal | Vishu Madaan | Anatoliy Zabrovskiy | Dragi Kimovski | Deepak Chaudhary | C. Timmerer | Deepak Chaudhary | Dragi Kimovski | Vishu Madaan | Prateek Agrawal | R.-C. Prodan | Anatoliy Zabrovskiy
[1] Neha Bhadwal,et al. Smart Border Surveillance System using Wireless Sensor Network and Computer Vision , 2019, 2019 International Conference on Automation, Computational and Technology Management (ICACTM).
[2] Fumitaka Kimura,et al. Recognition of English Multi-oriented Characters , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[3] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Anakkapon Saenthon,et al. Comparison the training methods of neural network for English and Thai character recognition , 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.
[5] Gregory Cohen,et al. EMNIST: an extension of MNIST to handwritten letters , 2017, CVPR 2017.
[6] Ashok A. Ghatol,et al. Combined DWT-DCT digital Watermarking Technique Software Used for CTS of Bank , 2014, 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).
[7] Prateek Agrawal,et al. Bank Cheque Validation Using Image Processing , 2019 .
[8] Chomtip Pornpanomchai,et al. Logo recognition system , 2015, 2015 International Computer Science and Engineering Conference (ICSEC).
[9] Huimin Lu,et al. A shadow removal method for tesseract text recognition , 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).
[10] Alberto Del Bimbo,et al. Context-Dependent Logo Matching and Recognition , 2013, IEEE Transactions on Image Processing.
[11] João Rogério Caldas Pinto,et al. Hybrid neural models for automatic handwritten digits recognition , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[12] Hui Jia,et al. Features Extraction and Matching of Binocular Image Based on SIFT Algorithm , 2018, 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).
[13] William A. Barrett,et al. Segmentation and Stitching Improves Handwriting Recognition on Datasets with Few Samples , 2018, 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR).
[14] Yang Li,et al. Cell image segmentation based on an improved watershed algorithm , 2015, 2015 8th International Congress on Image and Signal Processing (CISP).
[15] Kartika Gunadi,et al. The Application of Deep Convolutional Denoising Autoencoder for Optical Character Recognition Preprocessing , 2017, 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT).
[16] Jija Das Gupta,et al. Handwritten words recognition for legal amounts of bank cheques in English script , 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).
[17] M Harikrishnan,et al. Cheque Image Security Enhancement in Online Banking , 2018, 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT).
[18] Ashok A. Ghatol,et al. An integration of SVD digital image watermarking with AES technique for copyright protection and security of bank cheque image , 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).
[19] Hirotomo Aso,et al. Character pattern extraction from colorful documents with complex backgrounds , 2002, Object recognition supported by user interaction for service robots.
[20] Ganapati Panda,et al. Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition , 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).
[21] A. V. Mityakov,et al. Application of modern architectures of deep neural networks for solving practical problems , 2017, 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
[22] K. P. Soman,et al. Optical Character Recognition for English and Tamil Using Support Vector Machines , 2009, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies.
[23] Vishu Madaan,et al. Predicting Ayurveda-Based Constituent Balancing in Human Body Using Machine Learning Methods , 2020, IEEE Access.
[24] P. N. Vasambekar,et al. Signature recognition on bank cheques using ANN , 2016, 2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
[25] Masayuki Okamoto,et al. Removal of Background Patterns and Signatures for Magnetic Ink Character Recognition of Checks , 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.
[26] S. Karthikeyan,et al. Enhancing logo matching and recognition using local features , 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).
[27] Feriel Boudamous,et al. Off-line handwritten signature identification using histogram of templates and artificial immune recognition system , 2017, 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B).
[28] Soubhik Das,et al. Supervised machine learning in intelligent character recognition of handwritten and printed nameplate , 2017, 2017 International Conference on Advances in Computing, Communication and Control (ICAC3).
[29] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[30] Yansen Zhou,et al. Research and improvement of a multi-pattern matching algorithm based on double hash , 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).
[31] Omkar Sunil Joshi,et al. Parallelized Advanced Rabin-Karp Algorithm for String Matching , 2017, 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA).
[32] Ming Chen,et al. Grab Cut Image Segmentation Based on Image Region , 2018, 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC).
[33] Anca Ignat,et al. Handwritten Digit Recognition Using Rotations , 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).
[34] Fumitaka Kimura,et al. Recognition of Words from Legal Amounts of Indian Bank Cheques , 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.
[35] Gregory Cohen,et al. EMNIST: Extending MNIST to handwritten letters , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[36] Robert Sabourin,et al. Meta-Learning for Fast Classifier Adaptation to New Users of Signature Verification Systems , 2019, IEEE Transactions on Information Forensics and Security.
[37] Miguel Angel Ferrer-Ballester,et al. Static and Dynamic Synthesis of Bengali and Devanagari Signatures , 2018, IEEE Transactions on Cybernetics.
[38] Robert H. Yolken,et al. Anti-Gluten Immune Response following Toxoplasma gondii Infection in Mice , 2012, PloS one.
[39] Zhe Li,et al. Fast Logo Detection and Recognition in Document Images , 2010, 2010 20th International Conference on Pattern Recognition.
[40] Robert Sabourin,et al. Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification , 2019, IEEE Transactions on Information Forensics and Security.
[41] Sourabh S. Shenoy,et al. SWIFT-A Performance Accelerated Optimized String Matching Algorithm for Nvidia GPUs , 2016, 2016 15th International Symposium on Parallel and Distributed Computing (ISPDC).
[42] Mohsen Soryani,et al. From machine generated to handwritten character recognition; a deep learning approach , 2017, 2017 3rd International Conference on Pattern Recognition and Image Analysis (IPRIA).
[43] Prateek Agrawal,et al. Optimisation of Image Fusion using Feature Matching Based on SIFT and RANSAC , 2016 .
[44] Harneet Singh,et al. A Proposed Approach for Character Recognition Using Document Analysis with OCR , 2018, 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS).
[45] Jianqing Zhu,et al. Handwritten numeral recognition using multi-task learning , 2017, 2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).
[46] Cheng Chen,et al. A General Approach for Handwritten Digits Segmentation Using Spectral Clustering , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[47] C. N. Liu,et al. An Experimental Investigation of a Mixed-Font Print Recognition System , 1966, IEEE Trans. Electron. Comput..
[48] Francesco Camastra,et al. Cursive Character Challenge: a New Database for Machine Learning and Pattern Recognition , 2006 .
[49] Wenfeng Wu,et al. TV logo recognition based on luminance variance , 2012 .
[50] Wesley E. Dickinson,et al. A Character-Recognition Study , 1960, IBM J. Res. Dev..
[51] Garrison W. Cottrell,et al. Color-to-Grayscale: Does the Method Matter in Image Recognition? , 2012, PloS one.
[52] Francesco Camastra,et al. Offline Cursive Character Challenge: a New Benchmark for Machine Learning and Pattern Recognition Algorithms. , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[53] Rolf Ingold,et al. Optical Font Recognition Using Typographical Features , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[54] Reena Kharat,et al. Recognition of cursive English handwritten characters , 2017, 2017 International Conference on Trends in Electronics and Informatics (ICEI).
[55] Ratko Grbić,et al. Improving optical character recognition performance for low quality images , 2017, 2017 International Symposium ELMAR.
[56] Dejan Stefanovic,et al. Optical Character Recognition on images with colorful background , 2018, 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).
[57] Amit Choudhary,et al. Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) , 2020, Sensors.
[58] Steven J. Simske,et al. Automated Optimization of Void Pantograph Settings , 2011 .
[59] H. Kaur,et al. Analysis and Synthesis of an Ant Colony Optimization Technique for Image Edge Detection , 2012, 2012 International Conference on Computing Sciences.
[60] Reena Kharat,et al. Character Recognition for Cursive English Handwriting to Recognize Medicine Name from Doctor's Prescription , 2017, 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA).
[61] Soumen Bag,et al. Differentiating Pen Inks in Handwritten Bank Cheques Using Multi-layer Perceptron , 2017, PReMI.
[62] Feng Wanli,et al. A vehicle license plate recognition algorithm in night based on HSV , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).
[63] Nirmal Kundu,et al. An automated handwritten signature detection approach for e-security purposes , 2017, 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM).
[64] Julian Fiérrez,et al. Human-Assisted Signature Recognition Based on Comparative Attributes , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).
[65] Dharmendra Sharma,et al. Multiple Classification Using SVM Based Multi Knowledge Based System , 2017 .
[66] Mehran Yazdi,et al. Persian logo recognition using local binary patterns , 2017, 2017 3rd International Conference on Pattern Recognition and Image Analysis (IPRIA).
[67] George Nagy,et al. Self-corrective character recognition system , 1966, IEEE Trans. Inf. Theory.
[68] Julian Fiérrez,et al. Humans in the loop: Study of semi-automatic signature recognition based on attributes , 2017, 2017 International Carnahan Conference on Security Technology (ICCST).
[69] Tieniu Tan,et al. Font Recognition Based on Global Texture Analysis , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[70] Paul P. Wang,et al. Machine recognition of printed Chinese characters via transformation algorithms , 1973, Pattern Recognit..
[71] H. K. Singh,et al. Impact of information technology on Indian banking services , 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).
[72] M. K. Chavan,et al. Symbolic Representation Model for Off-Line Signature Verification , 2018, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT).
[73] Avinash Shivdas,et al. Green banking initiatives: A review of Indian banking sector , 2017, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy).
[74] Mohammad Abu Yousuf,et al. Handwritten Courtesy Amount and Signature Recognition on Bank Cheque using Neural Network , 2015 .
[75] Nuran Dogru,et al. Signature recognition by using SIFT and SURF with SVM basic on RBF for voting online , 2017, 2017 International Conference on Engineering and Technology (ICET).
[76] Nitin N. Patil,et al. A comparative study of various methods for offline signature verification , 2014, 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT).
[77] Anna Epishkina,et al. Handwritten signature attributes for its verification , 2018, 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).