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Recognition of Handwritten English Numerals Based on Combining Structural and Statistical Features

2021 Iraqi Journal of Computer, Communication, Control and System Engineering  
The aim of this paper is to propose a highly accurate model for recognizing a handwritten English numeral through efficiently extracting the most valuable features of a certain handwritten numeral or digit  ...  The latter phase gives a features vector of 26-element size to be fed into the classifier that uses the Multi-class Support Vector Machine (MSVM) for the classification process.  ...  it for the classification phase to identify each character and assign it to the correct character class.  ... 
doi:10.33103/uot.ijccce.21.1.7 fatcat:2yslyq3hzrfnflnuz3rcneydxq

Zoning methods for handwritten character recognition: A survey

D. Impedovo, G. Pirlo
2014 Pattern Recognition  
This paper presents a survey on zoning methods for handwritten character recognition.  ...  When adaptive zonings are considered, manual and automatic strategies for optimal zoning design are illustrated as well as the most appropriate zoning representation techniques.  ...  method to extract features for handwritten digit and character recognition.  ... 
doi:10.1016/j.patcog.2013.05.021 fatcat:w6ld6txnijgg7izly3kadbfevu

Isolated Handwritten Digit Recognition using Adaptive Unsupervised Incremental Learning Technique

Dharamveer Sharma, Deepika Gupta
2010 International Journal of Computer Applications  
The objective of this paper is to provide efficient and reliable techniques for recognition of handwritten numerals.  ...  From the concept of perturbation due to writing habits and instruments, we propose a recognition method which is able to account for a variety of distortions due to eccentric handwriting.  ...  Hu and Yan [3] presented a structural method for describing both printed and handwritten characters.  ... 
doi:10.5120/1150-1505 fatcat:w3au32k7ingaphkb4s7gbbkkny

Handwritten Character Recognition Based on Zoning Using Euler Number for English Alphabets and Numerals

Rachana R. Herekar, Prof. S. R Dhotre
2014 IOSR Journal of Computer Engineering  
In this paper focus is on offline handwritten English alphabets and numerals. Feature extraction is performed using zoning method together with the concept of euler number.  ...  There is a need to convert these handwritten documents into an editable format which can be achieved by Handwritten Character Recognition systems.  ...  In the early days, methods based on zoning were extensively put into action for recognition as well as analysis of handwritten characters.  ... 
doi:10.9790/0661-16437588 fatcat:exsdf2ubf5c5tc52eiip3g7j7m

Assamese Digit Recognition with Feed Forward Neural Network

Kalyanbrat Medhi, Sanjib Kr. Kalita
2015 International Journal of Computer Applications  
The recognizer crops the individual digits of the image using bounding box method and extracts the feature. In the present study zoning is used to obtain necessary feature vector.  ...  The recognition rate of printed digits is 98%, including multi size, bold and italics fonts. In case of handwritten digits recognition rate is 70.6%.  ...  In this experiment static zoning method is used for recognition.  ... 
doi:10.5120/19154-0587 fatcat:p75p5g4zuffftgrk6xbqocrcqm

A Survey on Handwritten Character Recognition Techniques for Various Indian Languages

Krupa Dholakia
2015 International Journal of Computer Applications  
This paper is mainly concerned for the people who are working on the character recognition and review of work to recognize handwritten character for various Indian languages.  ...  Handwritten character recognition is always an interesting area of pattern recognition for research in the field of image processing.  ...  [10] used Fisher Linear Discriminate analysis (FLD), 2DFLD, and diagonal FLD based methods for feature extraction to recognize unconstrained Kannada handwritten characters.  ... 
doi:10.5120/20114-2159 fatcat:3gvswu6n4zdvvkpjz2bu7cglhe

A Survey on Handwritten Character Recognition using Machine Learning Technique

Thatikonda Somashekar, Research Scholar, Department of Computer Science & Engineering, University College of Engineering(A), Osmania, University, Hyderabad, Telangana, India.
2021 Journal of University of Shanghai for Science and Technology  
Since the last three decades, handwritten characters have drawn the attention of researchers. For successful recognition, several methods have been suggested.  ...  Processing application forms, digitizing ancient articles, processing postal addresses, processing bank checks, and many other handwritten character processing fields are increasing in popularity.  ...  As a result, offline handwritten character recognition remains an open research field for recognizing and resolving various complexities.  ... 
doi:10.51201/jusst/21/05304 fatcat:mrearjwohfa57g2xdm7fe3esra

A high accuracy algorithm for recognition of handwritten numerals

Glenn Baptista, K.M. Kulkarni
1988 Pattern Recognition  
The project proposes the data hiding technique using adaptive pixel pair matching (PPM) and LSB Replacement for secret data communication.  ...  The proposed method always has lower distortion for various payloads Compared with the LSB and optimal pixel adjustment process (OPAP) method.  ...  Lazzerini and Marcelloni applied a Camastra and Vinciarelli use a 4 × 4 regular grid for method to handwritten characters for the fuzzy recognizing isolated cursive characters extracted from classification  ... 
doi:10.1016/0031-3203(88)90041-6 fatcat:7s55mhge4zdmjg2m3kmwmns5pq

Dynamic Zoning Selection for Handwritten Character Recognition [chapter]

Luciane Y. Hirabara, Simone B. K. Aires, Cinthia O. A. Freitas, Alceu S. Britto, Robert Sabourin
2011 Lecture Notes in Computer Science  
The first level consists of a conventional neural network and a look-up-table that is used to suggest the best zoning scheme for a given unknown character.  ...  This paper presents a two-level based character recognition method in which a dynamically selection of the most promising zoning scheme for feature extraction allows us to obtain interesting results for  ...  SD-19 hsf-0123 handwritten digit database with 50,000 samples for the training set, and another 10,000 for the validation set to evaluate the individual's error rate.  ... 
doi:10.1007/978-3-642-25085-9_60 fatcat:7ygukuq2pvfirawlt5dgrgdoya

Review of Optical Character Recognition Techniques& Applications

Arusa Firdous, Neha Pawar, Muheet Ahmed Butt, Majid Zaman
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
The Character Recognition of both keyboard typed and handwritten characters has still a long way to go in terms of research.  ...  The proposed review provides an in depth review of the OCR methods which include segmentation, classification and recognition of characters independent in size and texture.  ...  Touching or overlapping problem occurs frequently in the handwritten characters, because of modified characters in upper-zone and lower-zone. 5) Recognition: In this phase the character is recognized  ... 
doi:10.23956/ijarcsse/v7i7/0158 fatcat:dmci63cvfzeetg6tarn7p3h7ly

Improving Various Offline Techniques used for Handwritten Character Recognition : A Review

Rajiv KumarNath, Mayuri Rastogi
2012 International Journal of Computer Applications  
Handwritten character recognition is always an advanced area of research in the field of image processing and pattern recognition and there is a large demand for OCR on offline hand written documents.  ...  There are many paper deals with issues such as hand-printed character and cursive handwritten word recognition which describes recent achievements, difficulties, successes and challenges in all aspects  ...  scheme for the recognizing off-line handwritten characters is proposed.  ... 
doi:10.5120/7726-1136 fatcat:d57h2m4e2vhqliagxxa5bq4ola

Kannada Characters and Numerical Recognition System using Hybrid Zone-Wise Feature Extraction and Fused Classifier

Kavya. T. N, Pratibha. V, Priyadarshini. B. A, Vijaya Bharathi. M, Vijayalakshmi. G. V
2016 International Journal of Engineering Research and  
Recognition of handwritten characters is difficult because of different writing styles, mood of a person, size of handwritten characters and aging of documents.  ...  Kannada characters are symmetric and curvy in nature, hence difficult to recognize in an offline system.  ...  Rajashekaraaradhya et al used zone and distance metric based feature extraction method for handwritten Kannada digit recognition and obtained 97% accuracy [5] .  ... 
doi:10.17577/ijertv5is050692 fatcat:izy32vjxgra25ewirptbqk7mbm

Survey on Offline Character Recognition for Handwritten Gujarati Text

Bhumika B., Hinaxi M.
2017 International Journal of Computer Applications  
In Handwritten Character Recognition method the input is scanned from images, documents and real time devices like tablets, computers and digitizers etc. which are then interpreted into digital text.  ...  Handwritten Character Recognition is not a difficult task for humans, but for a machine it's really tough.  ...  [11] proposed that An Adaptive Neuro Fuzzy Classifier (ANFC) for recognition of isolated handwritten characters of Gujarati based on.  ... 
doi:10.5120/ijca2017915781 fatcat:tvy43c3donesjiy4joc4utw3au

Assamese Handwritten Character Recognition using Supervised Fuzzy Logic

2020 International journal of recent technology and engineering  
In first stage we extract distance vector and density features from uniform zones of the binary images for training classes and estimate the mean and variance for each class.  ...  An exponential fuzzy membership function is used for this purpose. Finally we recognize an unknown test character as that class for which it gives highest membership value.  ...  ACKNOWLEDGEMENT The authors gratefully acknowledge the Department of Computer Science, Gauhati University for all the necessary support.  ... 
doi:10.35940/ijrte.d9989.018520 fatcat:jqcnv3cmpfchfbe4svxl3edeuu

Recognition of the Arabic Handwritten Words of the Algerian Departments

Salim Ouchtati, Mohammed Redjimi, Mouldi Bedda
2014 Journal of clean energy technologies  
In this work we present an off line system for the recognition of the Arabic handwritten words of the Algerian departments.  ...  The used parameters to form the input vector of the neural network are extracted on the binary images of the handwritten word by several methods: the parameters of distribution, the moments centered of  ...  The results can be:  Recognized word: the system arrives to associate one and only one prototype to the digit to recognize.  Ambiguous word: the system proposes several prototypes to the digit to recognize  ... 
doi:10.7763/ijcte.2014.v6.850 fatcat:xzm5tb34nnfsxhae5odt5vt7ae
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