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In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed...
Handwritten character recognition is a translation problem of human writings into machine-editable text format. In this paper, hierarchical graph matching is presented for handwritten character recognition. Handwritten character was transformed into graphs based on its underlying skeleton structure. Edges of the extracted graph were categorized into shape types and vertices were extracted from each...
In this work, a handwritten character recognition method is performed by using accelerometer. Usually, in character recognition studies, image processing methods are used. However in this work data obtained from writing movements of writers are used. To obtain the movements of writing process 3-axis accelerometer is used and Dynamic Time Warping method is applied for recognition. Accelerometer data...
The research activity related to Optical Character Recognition (OCR) for almost all Indian languages needs more attention. The Gujarati language is no exception. This paper describes an important phase of OCR namely zone identification for Gujarati words. The zone identification is used to extract modifiers in the upper side of the base character called upper zone containing upper modifiers and lower...
This paper proposes an AV remote controller that can recognize pictograms and characters to control AV appliances, in which users write directly on the touch panel. To verify the proposal, we used an experimental device, employing an embedded MPU, supposing that the proposed device will be used in consumer appliances. The results, it has been verified that the AV remote controller can recognize the...
A new method is used for character segmentation from cursive Arabic words. The method is based on statistical approach which uses Normalization and rectification, coordinate transformation and clustering to extract ligatures. The output is then filtered to extract start, overlapped and end segment errors. After applying the filter the characters are completely isolated and ready for recognition. The...
A presentation on attempt to extract words from handwritten text lines in Gujarati script is hereby submitted. The very cursive nature of most Indian scripts makes the word extraction process a very critical one for Optical Character Recognition (OCR) activity. This cursive nature also causes difficulty during character extraction and modifier extraction. Word extraction is considered as one of the...
It has been 50 years since the idea popped up that calculating systems can be made on the replica of the biological neural networks. Still, the development of this science branch made the improvement of these systems possible only in the last 25-30 years. Nowadays, neural computing is a very extensive, separate science. Its solid theory basis made it possible to use them to solve many kind of problems...
Using a pen-type haptic device, we consider two problems of modeling and reconstructing characters, and of human learning of writing motions with the haptic aid. We first model handwritten characters by employing the so-called dynamic font method and theory of smoothing splines. Also, the calligraphic writing experiments are performed using haptic device with an idea of trajectory tracking control...
In this paper, we present a novel approach to separate connected symbols in online handwritten chemical formulas. The proposed method combines both the chemical structural characteristics and online information. The main process can be divided into three stages: preprocessing, location of connected point, and segmentation. In addition, organic ring, a common chemical structure, is much different from...
Linking a person based on handwritten documents is one of the oldest techniques that is used by crime investigators and forensic scientists. The importance of writer recognition in anthrax letter cases has made this examination popular in recent years. In this paper we propose four feature set namely directional opening, directional closing, direction erosion and k-curvature features for writer recognition...
An unconstrained online handwritten Chinese text lines dataset, SCUT-COUCH Textline_NU, a subset of SCUT-COUCH [1] [2], is built to facilitate the research of unconstrained online Chinese text recognition. Texts for hand copying are sampled from China Daily corpus with a stratified random manner. The current vision of SCUT-COUCH Textline_NU has 8,809 text lines (4,813 lines are collected by touch...
In this paper, we describe Jolly mate, a product concept that we have envisioned as assistive technology for young children with Dyslexia. Jolly mate, a digital notepad, emulates the Jolly Phonics system of teaching letter sounds and letter formation to children with dyslexia. Jolly mate in turn uses simple handwritten character recognizers created using the Lipi IDE tool from the Lipi Toolkit project,...
In practical applications, errors should not be treated equally, but conditionally. In this paper, errors are categorized based on different costs in misclassification. Accordingly, the characteristics of the error categorization and the corresponding strategies for correcting them are proposed. Verification based on Arabic Handwritten Numeral Recognition is considered as one application to utilize...
We present a complete online handwritten character recognition system for Indian languages that handles the ambiguities in segmentation as well as recognition of the strokes. The recognition is based on a generative model of handwriting formation, coupled with a discriminative model for classification of strokes. Such an approach can seamlessly integrate language and script information in the generative...
This paper describes the efforts at MILE lab, IISc, to create a 100,000-word database each in Kannada and Tamil for the design and development of Online Handwritten Recognition. It has been collected from over 600 users in order to capture the variations in writing style. We describe features of the scripts and how the number of symbols were reduced to be able to effectively train the data for recognition...
Large scale retrieval of handwritten documents has primarily been focused around searching a query text in the OCR'ed transcription of the document images, which provides a limited view of the complete search process. Recent research advances have led to a number of content based retrieval techniques which expand the search scope to document content level (i.e. image features, meta-information). Based...
Chinese Character Recognition generally does its best to identify a handwritten Chinese character. It seldom cares about normativity of writings. In the paper, we propose an on-line evaluation approach to normativity of Chinese character writing, which is based on position vector of strokes of character writing. The approach can find whether or not the order and location of strokes of character writing...
A new rotation feature extracted from tri-axial acceleration signals for 3D spatial handwritten digit recognition is proposed. The feature can effectively express the clockwise and anti-clockwise direction changes of the users' movement while writing in a 3D space. Based on the rotation feature, an algorithm for 3D spatial handwritten digit recognition is presented. First, the rotation feature of...
Stroke size and position are considered as important information for online recognition of handwritten characters and words in oriental and Indie family of scripts especially because of their multi-stroke and two-dimensional nature. In an Indie script such as Devanagari, the vowel diacritics (matras) can occur at any position around the base consonant and there are even pairs of matras which have...
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