Automatic detection of change in address blocks for reply forms processing

In this paper, an automatic method to detect the presence of on-line erasures/scribbles/corrections/over-writing in the address block of various types of subscription and utility payment forms is presented. The proposed approach employs bottom-up segmentation of the address block. Heuristic rules based on structural features are used to automate the detection process. The algorithm is applied on a large dataset of 5,780 real world document forms of 200 dots per inch resolution. The proposed algorithm performs well with an average processing time of 108 milliseconds per document with a detection accuracy of 98.96%

An empirical study on writer identification and verification from intra-variable individual handwriting

© 2013 IEEE. The handwriting of a person may vary substantially with factors, such as mood, time, space, writing speed, writing medium/tool, writing a topic, and so on. It becomes challenging to perform automated writer verification/identification on a particular set of handwritten patterns (e.g., speedy handwriting) of an individual, especially when the system is trained using a different set of writing patterns (e.g., normal speed) of that same person. However, it would be interesting to experimentally analyze if there exists any implicit characteristic of individuality which is insensitive to high intra-variable handwriting. In this paper, we study some handcrafted features and auto-derived features extracted from intra-variable writing. Here, we work on writer identification/verification from highly intra-variable offline Bengali writing. To this end, we use various models mainly based on handcrafted features with support vector machine and features auto-derived by the convolutional network. For experimentation, we have generated two handwritten databases from two different sets of 100 writers and enlarged the dataset by a data-augmentation technique. We have obtained some interesting results

A Correlational Study of 5th Students\u27 Handwriting Legibility and Scores on Writing Samples in a Northwest Georgia School

This study explored the relationship between legibility in handwriting scores and compositional scores of students in grade five in one Northwest Georgia school. The ability to recall and write the letters automatically may impact the composing skills of students engaged in the writing process. Handwriting, often considered a motor skill in young children, may have a greater impact on literacy learning than is often considered. The strong connection to literacy learning along with the importance as a skill in communications both contribute to the importance of this study. Data was collected from one elementary school in Northwest Georgia. The school was chosen based on location and the school’s use of a writing workshop model. As one school was chosen, all students are a part of the sampling for this study. A writing rubric for each piece of writing was scored and then compared to students’ handwriting scores to determine if there is a statistically significant correlation. Sufficient evidence during this study to reject both null hypothesis was found. The results of this correlational study can add to the body of research investigating the amount of instructional time spent on handwriting

Offline Bengali writer verification by PDF-CNN and siamese net

© 2018 IEEE. Automated handwriting analysis is a popular area of research owing to the variation of writing patterns. In this research area, writer verification is one of the most challenging branches, having direct impact on biometrics and forensics. In this paper, we deal with offline writer verification on complex handwriting patterns. Therefore, we choose a relatively complex script, i.e., Indic Abugida script Bengali (or, Bangla) containing more than 250 compound characters. From a handwritten sample, the probability distribution functions (PDFs) of some handcrafted features are obtained and input to a convolutional neural network (CNN). For such a CNN architecture, we coin the term 'PDFCNN', where handcrafted feature PDFs are hybridized with auto-derived CNN features. Such hybrid features are then fed into a Siamese neural network for writer verification. The experiments are performed on a Bengali offline handwritten dataset of 100 writers. Our system achieves encouraging results, which sometimes exceed the results of state-of-The-Art techniques on writer verification

Indexing nature: Carl Linnaeus (1707-1778) and his fact-gathering strategies

Early modern naturalists were faced with what has been termed the ‘first bio-information crisis’. A key figure in resolving this crisis was the Swedish naturalist Carl Linnaeus (1707-1788). This paper will focus on Linnaeus’s day-to-day working routines on the basis of manuscript material held at the Linnean Society(London). What this material shows is that Linnaeus had to manage a conflict between the need to bring factual information into a fixed order for purposes of retrieval, and the need to integrate new information into that order. A way out of this dilemma was to keep information on particular subjects on separate sheets, which could be reshuffled and complemented by additional sheets. It is only very late in his life, however, that Linnaeus realized the full potential of this technique, by inventing what look like index cards. What we thus hope to show in this paper is that one of the main cognitive advantages commonly assigned to writing – the possibility to abstract words and statements from their context and rearrange them freely in lists,tables and filing systems – had to prevail over considerable practical and psychological obstacles. What seems an obvious thing to do in hindsight, e.g. to work with something like index cards, had to be learned through an incessant, painstaking process of experimentation, fact-gathering, and reorganization

The relationship between handwriting, reading, fine motor and visual-motor skills in kindergarteners

Little is known about handwriting development in kindergarten. A vast number of studies can be found on reading, but few include writing skills and even fewer include handwriting skills in kindergarteners. This study examined the relationship between 7handwriting and reading measures at the kindergarten mid-year using the Alphabet Writing Test (Clark, 2010), Name Writing Test (Clark, 2010), and the Dynamic Indicators of Basic Early Literacy Skills (DIBELS; Good & Kaminiski, 2002). The 48 participating students ranged in ages from 68 to 82 months, with boys making up 53.8% of the study. Significant correlations were found between handwriting measures and DIBELS measures. Students who scored lower on DIBELS measures also scored lower on handwriting measures. The study also found a significant difference between the student`s legibility in writing upper case letters compared to lower case letters; however, the speed of writing these letters was not significantly different. Variables that predicted alphabet writing included the student`s age, ability to write first and last name, and the score on the DIBELS Initial Sound Fluency. Variables that predicted name writing were the student`s age, writing the upper and lower case alphabet, the Beery TMVisual Motor Integration (Beery & Berry, 2006), and Motor Coordination test (Beery & Beery, 2006). The implications for kindergartener`s handwriting skills and future research are discussed

Can the Archaeology of Manual Specialization Tell Us Anything About Language Evolution? A Survey of the State of Play

In this review and position paper we explore the neural substrates for manual specialization and their possible connection with language and speech. We focus on two contrasting hypotheses of the origins of language and manual specialization: the language-first scenario and the tool-use-first scenario. Each one makes specific predictions about hand-use in non-human primates, as well as about the necessity of an association between speech adaptations and population-level right-handedness in the archaeological and fossil records. The concept of handedness is reformulated for archaeologists in terms of manual role specialization, using Guiard's model asymmetric bimanual coordination. This focuses our attention on skilled bimanual tasks in which both upper limbs play complementary roles. We review work eliciting non-human primate hand preferences in co-ordinated bimanual tasks, and relevant archaeological data for estimating the presence or absence of a population-level bias to the right hand as the manipulator in extinct hominin species and in the early prehistory of our own species

Handwriting in Children and Adults With Down Syndrome: Developmental Delay or Specific Features?

International audienceWhile there is a long history and tradition of behavioral research on basic motor skills in Down syndrome (DS), there has been only limited research on handwriting ability. We analyzed the spatiotemporal features of handwriting produced by children and adults with DS (n = 24), and compared their productions with those of comparison groups matched for developmental (n = 24) or chronological (n = 24) age. Results indicated that the participants with DS performed an alphabet letter-writing task just as efficiently as the children of the same developmental age, in terms of the length, duration and speed of their handwriting, and the number and duration of their pauses. Our study highlights a substantial delay in the stages of writing acquisition

A value oriented conceptual model for innovation in local government

The political rhetoric that accompanied the introduction of eGovernment expected it to produce innovation in the way government agencies conducted themselves with citizen and business alike. It was assumed that innovation was both "good" and inevitable. This paper challenges these assumptions and presents a more realistic model of how innovation might occurs in UK local government. The model is supported by anecdotal evidence, literature and a recent study of eGoverment achievement in the UK - VIEGO. A key element in the model is the notion of innovation value