Machine learning-based offline signature verification systems: A systematic review

[1]  Muhammad Sharif,et al.  A framework for offline signature verification system: Best features selection approach , 2018, Pattern Recognit. Lett..

[2]  Réjean Plamondon,et al.  Automatic signature verification and writer identification - the state of the art , 1989, Pattern Recognit..

[3]  Hassiba Nemmour,et al.  An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis , 2017, Neurocomputing.

[4]  Robert Sabourin,et al.  A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification , 2020, Expert Syst. Appl..

[5]  Alireza Alaei,et al.  Performance of an Off-Line Signature Verification Method Based on Texture Features on a Large Indic-Script Signature Dataset , 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

[6]  Yaobin Mao,et al.  A review of boosting methods for imbalanced data classification , 2014, Pattern Analysis and Applications.

[7]  Marcus Liwicki,et al.  Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks , 2018, S+SSPR.

[8]  Amjad Rehman,et al.  Cursive multilingual characters recognition based on hard geometric features , 2020, Int. J. Comput. Vis. Robotics.

[9]  Bhushan S. Thakare,et al.  A Combined Feature Extraction Model Using SIFT and LBP for Offline Signature Verification System , 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

[10]  Hemanta Saikia,et al.  Approaches and Issues in Offline Signature Verification System , 2012 .

[11]  Niladri B. Puhan,et al.  Off-line signature verification: upper and lower envelope shape analysis using chord moments , 2014, IET Biom..

[12]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[13]  Ranga Rodrigo,et al.  TextCaps: Handwritten Character Recognition With Very Small Datasets , 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

[14]  Alireza Alaei,et al.  Interval-valued symbolic representation based method for off-line signature verification , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

[15]  Robert Sabourin,et al.  Hybrid writer-independent-writer-dependent offline signature verification system , 2013, IET Biom..

[16]  Luiz Eduardo Soares de Oliveira,et al.  Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[17]  Younes Akbari,et al.  Patch-based offline signature verification using one-class hierarchical deep learning , 2019, International Journal on Document Analysis and Recognition (IJDAR).

[18]  Babak Nadjar Araabi,et al.  UTSig: A Persian offline signature dataset , 2016, IET Biom..

[19]  Hassiba Nemmour,et al.  New off-line Handwritten Signature Verification method based on Artificial Immune Recognition System , 2016, Expert Syst. Appl..

[20]  Hassiba Nemmour,et al.  Handwritten signature verification using the quad-tree histogram of templates and a Support Vector-based artificial immune classification , 2017, Image Vis. Comput..

[21]  Ashok Kumar,et al.  A robust offline handwritten signature verification system using writer independent approach , 2017, 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall).

[22]  Kaspar Riesen,et al.  Offline Signature Verification Via Structural Methods: Graph Edit Distance and Inkball Models , 2018, 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR).

[23]  Agus Wahyu Widodo,et al.  Offline signature verification based on pyramid histogram of oriented gradient features , 2017, 2017 1st International Conference on Informatics and Computational Sciences (ICICoS).

[24]  Kurban Ubul,et al.  BoVW Based Feature Selection for Uyghur Offline Signature Verification , 2018, CCBR.

[25]  Ainuddin Wahid Abdul Wahab,et al.  Ensembled deep convolution neural network-based breast cancer classification with misclassification reduction algorithms , 2020, Multimedia Tools and Applications.

[26]  Majid Nili Ahmadabadi,et al.  Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs , 2019, Expert Syst. Appl..

[27]  Tülay Yildirim,et al.  Large-scale offline signature recognition via deep neural networks and feature embedding , 2019, Neurocomputing.

[28]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[29]  Bhushan S. Thakare,et al.  A Novel End-to-End Approach for Offline Signature Verification System , 2018, 2018 3rd International Conference for Convergence in Technology (I2CT).

[30]  Nazil Perveen,et al.  An Overview on Template Matching Methodologies and its Applications , 2013 .

[31]  Miguel A. Ferrer,et al.  Assessing the common authorship of a set of questioned signature images , 2017, 2017 International Carnahan Conference on Security Technology (ICCST).

[32]  Youcef Chibani,et al.  One-Class Writer-Independent Offline Signature Verification Using Feature Dissimilarity Thresholding , 2016, IEEE Transactions on Information Forensics and Security.

[33]  Yoshua Bengio,et al.  Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.

[34]  Manabu Okawa,et al.  KAZE features via fisher vector encoding for offline signature verification , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).

[35]  Lior Rokach,et al.  Ensemble learning: A survey , 2018, WIREs Data Mining Knowl. Discov..

[36]  Ainuddin Wahid Abdul Wahab,et al.  Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges , 2019, Artificial Intelligence Review.

[37]  Mustafa Berkay Ylmaz,et al.  Score level fusion of classifiers in off-line signature verification , 2016 .

[38]  Lokesh Singh,et al.  Image Denoising Techniques: A Brief Survey , 2015 .

[39]  Alireza Alaei,et al.  Signature verification approach using fusion of hybrid texture features , 2017, Neural Computing and Applications.

[40]  Bin Fang,et al.  Off-Line Signature Verification Based on Multi-Scale Local Structural Pattern , 2017, Int. J. Pattern Recognit. Artif. Intell..

[41]  Marcus Liwicki,et al.  Combining graph edit distance and triplet networks for offline signature verification , 2019, Pattern Recognit. Lett..

[42]  Kaspar Riesen,et al.  A Structural Approach to Offline Signature Verification Using Graph Edit Distance , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[43]  Miguel Angel Ferrer-Ballester,et al.  A Perspective Analysis of Handwritten Signature Technology , 2019, ACM Comput. Surv..

[44]  N. Dalkey,et al.  An Experimental Application of the Delphi Method to the Use of Experts , 1963 .

[45]  Abdul Salam Shah,et al.  An appraisal of off-line signature verification techniques , 2015 .

[46]  Byron L. D. Bezerra,et al.  Deep learning approach to generate offline handwritten signatures based on online samples , 2019, IET Biom..

[47]  Alireza Alaei,et al.  An Efficient Signature Verification Method Based on an Interval Symbolic Representation and a Fuzzy Similarity Measure , 2017, IEEE Transactions on Information Forensics and Security.

[48]  Sushila Maheshkar,et al.  Verification of static signature pattern based on random subspace, REP tree and bagging , 2017, Multimedia Tools and Applications.

[49]  Ravindra Hegadi,et al.  Eigen Value Based Features for Offline Handwritten Signature Verification Using Neural Network Approach , 2016, RTIP2R.

[50]  George Economou,et al.  Offline signature verification and quality characterization using poset-oriented grid features , 2016, Pattern Recognit..

[51]  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.

[52]  Bernt Schiele,et al.  A tutorial on human activity recognition using body-worn inertial sensors , 2014, CSUR.

[53]  Ching Y. Suen,et al.  Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[54]  Yan Cui,et al.  Multi-phase Offline Signature Verification System Using Deep Convolutional Generative Adversarial Networks , 2016, 2016 9th International Symposium on Computational Intelligence and Design (ISCID).

[55]  Robert Sabourin,et al.  Offline handwritten signature verification — Literature review , 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

[56]  Christoph Meinel,et al.  Signature Embedding: Writer Independent Offline Signature Verification with Deep Metric Learning , 2016, ISVC.

[57]  P. Sivakumar,et al.  Cursive script identification using Gabor features and SVM classifier , 2020, Int. J. Comput. Aided Eng. Technol..

[58]  Khaled Daqrouq,et al.  Off-Line Handwritten Signature Recognition by Wavelet Entropy and Neural Network , 2017, Entropy.

[59]  Ashraf AbdelRaouf,et al.  Handwritten Signature Verification using Haar Cascade Classifier Approach , 2018, 2018 13th International Conference on Computer Engineering and Systems (ICCES).

[60]  Alex Alexandridis,et al.  Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets , 2019, Expert Syst. Appl..

[61]  Mukta Paliwal,et al.  Neural networks and statistical techniques: A review of applications , 2009, Expert Syst. Appl..

[62]  Imran Siddiqi,et al.  Towards the design of an offline signature verifier based on a small number of genuine samples for training , 2018, Expert Syst. Appl..

[63]  Ilias Theodorakopoulos,et al.  Handwritten Signature Verification via Deep Sparse Coding Architecture , 2018, 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).

[64]  Miguel Angel Ferrer-Ballester,et al.  Generation of Duplicated Off-Line Signature Images for Verification Systems , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[65]  Robert Sabourin,et al.  Fixed-sized representation learning from offline handwritten signatures of different sizes , 2018, International Journal on Document Analysis and Recognition (IJDAR).

[66]  Cheng-Lin Liu,et al.  Offline signature verification using convolution Siamese network , 2018, International Conference on Graphic and Image Processing.

[67]  P. Narwade,et al.  Offline Handwritten Signature Verification Using Cylindrical Shape Context , 2018, 3D Research.

[68]  Robert Sabourin,et al.  Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification , 2019, IEEE Transactions on Information Forensics and Security.

[69]  Snehil G. Jaiswal,et al.  Off-line signature verification using global & local features with neural networks , 2014, 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies.

[70]  Manabu Okawa,et al.  Offline Signature Verification with VLAD Using Fused KAZE Features from Foreground and Background Signature Images , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[71]  Robert Sabourin,et al.  Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems , 2017, Cryptogr..

[72]  W. N. H. W. Mohamed,et al.  A comparative study of Reduced Error Pruning method in decision tree algorithms , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[73]  Siti Norul Huda Sheikh Abdullah,et al.  State-of-the-art in offline signature verification system , 2011, 2011 International Conference on Pattern Analysis and Intelligence Robotics.

[74]  Youcef Chibani,et al.  The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters , 2015, Pattern Recognit..

[75]  Sushila Maheshkar,et al.  Offline Signature Verification Using Artificial Neural Network , 2015, FICTA.

[76]  Robert Sabourin,et al.  A bio-cryptographic system based on offline signature images , 2014, Inf. Sci..

[77]  Miguel Angel Ferrer-Ballester,et al.  Approaching the intra-class variability in multi-script static signature evaluation , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

[78]  Andrew Beng Jin Teoh,et al.  Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network , 2016, Appl. Soft Comput..

[79]  Manabu Okawa,et al.  Synergy of foreground-background images for feature extraction: Offline signature verification using Fisher vector with fused KAZE features , 2018, Pattern Recognit..

[80]  Sargur N. Srihari,et al.  Offline Signature Verification And Identification Using Distance Statistics , 2004, Int. J. Pattern Recognit. Artif. Intell..

[81]  Miguel A. Ferrer,et al.  Static Signature Synthesis: A Neuromotor Inspired Approach for Biometrics , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[82]  Zhenhua Guo,et al.  Offline Signature Verification Using Local Features and Decision Trees , 2017, Int. J. Pattern Recognit. Artif. Intell..

[83]  Julian Fiérrez,et al.  Increasing the robustness of biometric templates for dynamic signature biometric systems , 2015, 2015 International Carnahan Conference on Security Technology (ICCST).

[84]  Miguel Angel Ferrer-Ballester,et al.  A Behavioral Handwriting Model for Static and Dynamic Signature Synthesis , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[85]  Gaurav Kumar,et al.  A Detailed Review of Feature Extraction in Image Processing Systems , 2014, 2014 Fourth International Conference on Advanced Computing & Communication Technologies.

[86]  Suneeta Agarwal,et al.  Off-line Signature Verification through Machine Learning , 2018, 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

[87]  Luiz Eduardo Soares de Oliveira,et al.  Learning features for offline handwritten signature verification using deep convolutional neural networks , 2017, Pattern Recognit..

[88]  Robert Sabourin,et al.  Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[89]  Rafael M. O. Cruz,et al.  On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

[90]  L. Mahanta,et al.  An Ensemble Based Offline Handwritten Signature Verification System , 2020 .

[91]  Manabu Okawa,et al.  From BoVW to VLAD with KAZE features: Offline signature verification considering cognitive processes of forensic experts , 2018, Pattern Recognit. Lett..

[92]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[93]  Miguel Angel Ferrer-Ballester,et al.  Multi-script versus single-script scenarios in automatic off-line signature verification , 2016, IET Biom..

[94]  Abdul Salam Shah,et al.  An offline signature verification technique using pixels intensity levels , 2016 .