Towards a novel biometric system for forensic document examination

Abstract Biometric systems have demonstrated an important enhancement in writer identification from online handwriting. Indeed, writer identification is still a challenging task in the definition of a set of features able to characterize the different samples of handwriting documents. These samples are not usually stable and show a vast variability from the same writer over time, or from different writers. The ability to identify the documents’ authors provides more chances for using these documents for various purposes and especially in forensic analysis. In this paper, we present a biometric based recognition system for forensic document examination capable of identifying a document's author. This system consists of the preprocessing and the segmentation of online handwriting into a sequence of strokes in a first step. Then, from each stroke, we extract a set of static and dynamic features. Next, all the segments which are composed of two consecutive strokes are categorized into groups and subgroups according to their position and their geometric characteristics. Finally, Deep Neural Network is used as a classifier. Experiments which are conducted on IBM_UB_1, IAM OnDB, NLPR Handwriting and ADAB databases, demonstrate that the proposed system outperforms the existing writer identification systems on Latin and Arabic scripts. This justifies its usefulness in forensic examination of handwriting.

[1]  Vlad Atanasiu.  Cuckoos among Your Data: A Quality Control Method to Retrieve Mislabeled Writer Identities from Handwriting Datasets , 2016, Document Recognition and Retrieval.

[2]  I. Gordon.  Theories of Visual Perception , 1989 .

[3]  Suresh Sundaram,et al.  An online writer identification system using regression-based feature normalization and codebook descriptors , 2017, Expert Syst. Appl..

[4]  Adel M. Alimi,et al.  Deep Bidirectional Long Short-Term Memory for Online Arabic Writer Identification Based on Beta-Elliptic Model , 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

[5]  Youbao Tang,et al.  Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform , 2014, IEEE Transactions on Information Forensics and Security.

[6]  Christoforos Ntantogian,et al.  Gaithashing: A two-factor authentication scheme based on gait features , 2015, Comput. Secur..

[7]  Adel M. Alimi,et al.  Bag of face recognition systems based on holistic approaches , 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

[8]  Tieniu Tan,et al.  Online Text-independent Writer Identification Based on Temporal Sequence and Shape Codes , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[9]  Adel M. Alimi,et al.  Graphemes Segmentation for Arabic Online Handwriting Modeling , 2014, J. Inf. Process. Syst..

[10]  Yves Lecourtier,et al.  A structural/statistical feature based vector for handwritten character recognition , 1998, Pattern Recognit. Lett..

[11]  Angelika Garz,et al.  Simple and Fast Geometrical Descriptors for Writer Identification , 2016, Document Recognition and Retrieval.

[12]  Adel M. Alimi,et al.  Deep neural network for online writer identification using Beta-elliptic model , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[13]  Rachael D. Seidler,et al.  Differential effects of age on sequence learning and sensorimotor adaptation , 2006, Brain Research Bulletin.

[14]  Mohamed Hammad,et al.  Parallel score fusion of ECG and fingerprint for human authentication based on convolution neural network , 2019, Comput. Secur..

[15]  Hala Bezine,et al.  On-line arabic handwriting segmentation via perceptual codes: application to MAYASTROUN database , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.

[16]  Adel M. Alimi,et al.  Analysis and synthesis of handwriting movements via the enhanced beta-elliptic model , 2016, 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD).

[17]  Ching Y. Suen,et al.  Piecewise linear modulation model of handwriting , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[18]  Suresh Sundaram,et al.  An improved online writer identification framework using codebook descriptors , 2018, Pattern Recognit..

[19]  Patrick Bours,et al.  Gait and activity recognition using commercial phones , 2013, Comput. Secur..

[20]  Suresh Sundaram,et al.  Online Writer Identification With Sparse Coding-Based Descriptors , 2018, IEEE Transactions on Information Forensics and Security.

[21]  Adel M. Alimi,et al.  On the BÊta-Elliptic Model for the Control of the Human Arm Movement , 2007, Int. J. Pattern Recognit. Artif. Intell..

[22]  Joulia Chapran,et al.  Biometric Writer Identification: Feature Analysis and Classification , 2006, Int. J. Pattern Recognit. Artif. Intell..

[23]  Graham Leedham,et al.  Extraction and analysis of forensic document examiner features used for writer identification , 2007, Pattern Recognit..

[24]  Imran Siddiqi,et al.  Writer identification using texture descriptors of handwritten fragments , 2016, Expert Syst. Appl..

[25]  Juan A. Sigüenza,et al.  Writer Identification Method Based on Forensic Knowledge , 2004, ICBA.

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

[27]  Ying Wen,et al.  Text-independent writer identification using SIFT descriptor and contour-directional feature , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[28]  Venu Govindaraju,et al.  Modeling Writing Styles for Online Writer Identification: A Hierarchical Bayesian Approach , 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

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

[30]  Tieniu Tan,et al.  Text-Independent Writer Identification Based on Fusion of Dynamic and Static Features , 2005, IWBRS.

[31]  Marcus Liwicki,et al.  A writer identification system for on-line whiteboard data , 2008, Pattern Recognit..

[32]  Volker Märgner,et al.  On-line Arabic handwriting recognition competition , 2011, 2011 International Conference on Document Analysis and Recognition.

[33]  Lambert Schomaker,et al.  Automatic writer identification using connected-component contours and edge-based features of uppercase Western script , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Adel M. Alimi,et al.  MLP Neural Network for face recognition based on Gabor Features and Dimensionality Reduction techniques , 2014, 2014 International Conference on Multimedia Computing and Systems (ICMCS).

[35]  Tieniu Tan,et al.  Hierarchical Shape Primitive Features for Online Text-independent Writer Identification , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[36]  Adel M. Alimi,et al.  A fuzzy genetic system for segmentation of on-line handwriting: Application to ADAB database , 2011, 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

[37]  R Plamondon,et al.  Speed/accuracy trade-offs in target-directed movements , 1997, Behavioral and Brain Sciences.

[38]  Kaushik Roy,et al.  Offline Writer Identification and Verification—A State-of-the-Art , 2016 .

[39]  Suresh Sundaram,et al.  A subtractive clustering scheme for text-independent online writer identification , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[40]  Venu Govindaraju,et al.  Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models , 2014, 2014 22nd International Conference on Pattern Recognition.

[41]  Adel M. Alimi,et al.  A New Encoding System: Application to On-line Arabic Handwriting , 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

[42]  Lianwen Jin,et al.  DeepWriterID: An End-to-End Online Text-Independent Writer Identification System , 2015, IEEE Intelligent Systems.

[43]  Shehzad Khalid,et al.  Framework for human identification through offline handwritten documents , 2015, 2015 International Conference on Computer, Communications, and Control Technology (I4CT).

[44]  Marcus Liwicki,et al.  IAM-OnDB - an on-line English sentence database acquired from handwritten text on a whiteboard , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[45]  Michael C. Fairhurst,et al.  Automatic Handwriting Feature Extraction, Analysis and Visualization in the Context of Digital Palaeography , 2016, Int. J. Pattern Recognit. Artif. Intell..

[46]  Marcos Faúndez-Zanuy,et al.  Gender Classification by Means of Online Uppercase Handwriting: A Text-Dependent Allographic Approach , 2015, Cognitive Computation.

[47]  Adel M. Alimi,et al.  Online Arabic writer identification based on Beta-elliptic model , 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

[48]  Lambert Schomaker,et al.  Text-Independent Writer Identification and Verification Using Textural and Allographic Features , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[49]  Volker Märgner,et al.  On-line Arabic handwriting recognition competition , 2010, International Journal on Document Analysis and Recognition (IJDAR).