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Signature Verification for Banking Sector Based on SIFT

Mary Jolve
2017 International Journal Of Engineering And Computer Science  
This study focus on text-independent writer identification method based on scale invariant feature transform (SIFT). It consists of three phase: training, enrolment and identification phase.  ...  And finally in last phase, the SDS and SOH of the input handwriting are extracted and matched with the enrolled ones for identification.  ...  The existing approach of offline text-independent writer identification can be categorized into two: texture based approaches and structure based approaches For identifying the writer, texture based approach  ... 
doi:10.18535/ijecs/v6i4.68 fatcat:psttseszanh6nfaegerbyjwm54

A Survey on Writer Identification Schemes

Sreeraj. M, Sumam Mary Idicula
2011 International Journal of Computer Applications  
In automated writer identification, text independent and text dependent methods are available which is also discussed in this paper.  ...  Taxonomy of different features adopted for online and offline writer identification schemes is also drawn at.  ...  [11] presented spectral feature extraction method based on Fast Fourier Transformation which was tested on the 200 Chinese handwriting text collected from 100 writers.  ... 
doi:10.5120/3075-4205 fatcat:fj6rz2xkrvhd3ddzdl3jdcyx6q

The effect of SIFT features as content descriptors in the context of automatic writer identification in Malayalam language

M Sreeraj., Sumam Mary Idicula
2012 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems  
In this paper, the writer identification in Malayalam language is sought for by utilizing feature extraction technique such as Scale Invariant Features Transform (SIFT).The schemes are tested on a test  ...  As the success rate of a writer identification scheme is highly dependent on the features extracted from the documents, the phase of feature extraction and therefore selection is highly significant for  ...  Further, writer identification can also be divided into two parts: text-dependent and text-independent writer identification.  ... 
doi:10.1109/icumt.2012.6459739 dblp:conf/icumt/SreerajI12 fatcat:cgbhb6t2pjd6hagzz4d3d26uwu

An interactive Tool for Writer Identification based on Offline Text Dependent Approach

Saranya K, Vijaya MS
2013 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
Writer identification is the process of identifying the writer of the document based on their handwriting.  ...  An interactive tool has been developed based on the word level writer identification model.  ...  This research proposes text dependent writer identification based on scanned images of English handwriting.  ... 
doi:10.14569/ijarai.2013.020105 fatcat:4zmifh2gajdqjaeobkrqvti7qa

Gradient-based approach to offline text-independent Persian writer identification

Abdorreza Alavi Gharahbagh, Farzin Yaghmaee
2019 IET Biometrics  
This study presents a gradient-based technique to offline writer identification in Persian documents. In the proposed method, some similar segmented characters were used for feature extraction.  ...  Other main advantages of the proposed method included defining Persian stroke concept based on Persian characteristics, computing statistical features from Persian strokes and identifying writer by using  ...  [18] proposed a robust offline text-independent writer identification using discrete cosine transform. In this method, firstly a codebook for each writer was generated using a bagged DCT.  ... 
doi:10.1049/iet-bmt.2018.5117 fatcat:h5acd64ut5bnvlax26ihynzqcm

Text-independent writer identification using convolutional neural network

Hung Tuan Nguyen, Cuong Tuan Nguyen, Takeya Ino, Bipin Indurkhya, Masaki Nakagawa
2018 Pattern Recognition Letters  
Previous research on text-independent writer identification has been based on identifying writer-specific features designed by experts.  ...  The text-independent approach to writer identification does not require the writer to write some predetermined text.  ...  For offline writer identification, local features are extracted from sub-regions of an image based on local descriptors such as scale-invariant features transform (SIFT) [9, 31] , local binary pattern  ... 
doi:10.1016/j.patrec.2018.07.022 fatcat:nntg6elbfbaodarvivkdc5qhc4

Oriented Local Binary Patterns for Writer Identification

Anguelos Nicolaou, Marcus Liwicki, Rolf Ingold
2013 IEEE International Conference on Document Analysis and Recognition  
In this paper we present an oriented texture feature set and apply it to the problem of offline writer identification.  ...  Our feature set is based on local binary patterns (LBP) which were broadly used for face recognition in the past. These features are inherently texture features.  ...  ACKNOWLEDGMENT The first author of this paper would like to thank Georgios Louloudis for his precious insights on the subject of writer identification and performance evaluation.  ... 
dblp:conf/icdar/NicolaouLI13 fatcat:xv6ibdadmrgqphzh3pc4tadwom

RSTC: A New Residual Swin Transformer For Offline Word-Level Writer Identification

Peirong Zhang
2022 IEEE Access  
The proposed method is tested on the IAM and CVL benchmark datasets and achieves state-of-the-art performance, which demonstrates RSTC's superior modeling capability on word-level writer identification  ...  Scenarios with extensive handwriting data such as page-level or sentence-level have achieved satisfactory accuracy, however, word-level offline writer identification is still challenging owing to the difficulty  ...  They also calculated the Scale Invariant Feature Transform (SIFT) features. The combination of Pathlet and SIFT features achieved excellent results on page-level writer identification. B.  ... 
doi:10.1109/access.2022.3178597 fatcat:ngo2usse3jfbzgn7kvpducncse

Offline Text-Independent Writer Identification based on word level data [article]

Vineet Kumar, Suresh Sundaram
2022 arXiv   pre-print
Our approach is text-independent and does not place any restrictions on the size of the input word images under consideration.  ...  However, owing to the scale corresponding to the SIFT key points, the size of a generated feature map may differ.  ...  Based on the literature of offline text-independent writer identification, the works can be divided into one of the categories, namely texture, shape and deep learning-based approach [8] .  ... 
arXiv:2202.10207v2 fatcat:z6iqrm3qezawlkewnsonq5kpim

Short Words Signature Verification using Markov Chain and Fisher Linear Discriminant Approach

M. Nazir, Surendra Singh Choudhary, Danish Ather, Latika Kharb
2022 International Journal of Advanced Computer Science and Applications  
From the geometrical studies of signature-based images, it is stated that the morphology of directional transformations (MDT) is right to extract the suitable features in case of short words for writer  ...  identification.  ...  They mainly focused on handcrafted Scale Invariant Feature Transform (SIFT) and final outcome goes through training, registration and identification of signature images.  ... 
doi:10.14569/ijacsa.2022.0130615 fatcat:2mo2xgago5b6pmtic3jwljrrvu

Writer identification by training on one script but testing on another

Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein
2016 2016 23rd International Conference on Pattern Recognition (ICPR)  
This work is based on the understanding that a writer has some inherent stroke characteristics that are independent of the script in which (s)he writes.  ...  In this work, some implicit structural and statistical features are extracted, and multiple classifiers are employed for writer identification.  ...  SIFT (Scale-Invariant Feature Transform)-based techniques [3] are also used for such problems. In a multilingual country, a writer may write in multiple (mostly two) scripts.  ... 
doi:10.1109/icpr.2016.7899792 dblp:conf/icpr/AdakCB16 fatcat:344xhkk2tnfbbph2xlti7thune

Prediction Of Writer Using Tamil Handwritten Document Image Based On Pooled Features

T. Thendral, M. S. Vijaya, S. Karpagavalli
2015 Zenodo  
It has been reported on 100% of prediction accuracy by RBF and polynomial kernel based classification model.  ...  Handwriting is a unique feature of an individual. Writer may change their handwritings according to their frame of mind and this place a risky challenge in identifying the writer.  ...  Corpus Preparation The research work proposed here for modeling writer identification is based on offline text dependent approaches.  ... 
doi:10.5281/zenodo.1338446 fatcat:okru26lhlrdnvnbmjhkhhaqc54

Prediction Of Writer Using Tamil Handwritten Document Image Based On Pooled Features

T. Thendral, M. S. Vijaya, S. Karpagavalli
2015 Zenodo  
It has been reported on 100% of prediction accuracy by RBF and polynomial kernel based classification model.  ...  Handwriting is a unique feature of an individual. Writer may change their handwritings according to their frame of mind and this place a risky challenge in identifying the writer.  ...  Corpus Preparation The research work proposed here for modeling writer identification is based on offline text dependent approaches.  ... 
doi:10.5281/zenodo.1108868 fatcat:2ws55hhuhrbm5awlfd267ndruy

Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors

Faraz Ahmad Khan, Fouad Khelifi, Muhammad Atif Tahir, Ahmed Bouridane
2019 IEEE Transactions on Information Forensics and Security  
This paper presents an efficient handwriting identification system which combines Scale Invariant Feature Transform (SIFT) and RootSIFT descriptors in a set of Gaussian mixture models (GMM).  ...  While a SGMM is constructed for every writer to describe the intra-class similarity that is exhibited between the handwritten texts of the same writer, a DGMM represents the contrast or dissimilarity that  ...  This paper presents an efficient handwriting identification system which combines Scale Invariant Feature Transform (SIFT) and RootSIFT descriptors in a set of Gaussian mixture models (GMM).  ... 
doi:10.1109/tifs.2018.2850011 fatcat:cflv2uzrfbh3pi2vkxlaqx4h6a

Text-Dependent Writer Identification for Arabic Handwriting

Somaya Al-Maadeed
2012 Journal of Electrical and Computer Engineering  
This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base.  ...  In this work, we studied the feature extraction and recognition operations of Arabic text on the identification rate of writers.  ...  Moment Invariants. For text-dependent writer identification, we extracted the moment features.  ... 
doi:10.1155/2012/794106 fatcat:asucze754jbhloigghvkqszody
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