Text-independent writer identification using convolutional neural network

The text-independent approach to writer identification does not require the writer to write some predetermined text. Previous research on text-independent writer identification has been based on identifying writer-specific features designed by experts. However, in the last decade, deep learning methods have been successfully applied to learn features from data automatically. We propose here an end-to-end deep-learning method for text-independent writer identification that does not require prior identification of features. A Convolutional Neural Network (CNN) is trained initially to extract local features, which represent characteristics of individual handwriting in the whole character images and their sub-regions. Randomly sampled tuples of images from the training set are used to train the CNN and aggregate the extracted local features of images from the tuples to form global features. For every training epoch, the process of randomly sampling tuples is repeated, which is equivalent to a large number of training patterns being prepared for training the CNN for text-independent writer identification. We conducted experiments on the JEITA-HP database of offline handwritten Japanese character patterns. With 200 characters, our method achieved an accuracy of 99.97% to classify 100 writers. Even when using 50 characters for 100 writers or 100 characters for 400 writers, our method achieved accuracy levels of 92.80% or 93.82%, respectively. We conducted further experiments on the Firemaker and IAM databases of offline handwritten English text. Using only one page per writer to train, our method achieved over 91.81% accuracy to classify 900 writers. Overall, we achieved a better performance than the previously published best result based on handcrafted features and clustering algorithms, which demonstrates the effectiveness of our method for handwritten English text also

Corrective Feedback Timing in Kanji Writing Instruction Apps

The focus of this research paper is to determine the correct time to provide corrective feedback to people who are learning how to write Japanese kanji. To do this, we developed a system that is able to recognize Japanese kanji that is handwritten onto an iPad screen and check for errors such as wrong stroke order. Previous research has achieved success in developing similar systems, but this project is unique because the research question involves the timing of corrective feedback. In particular, we are looking at whether immediate or delayed corrective feedback results in better learning

Pen pressure features for writer-independent on-line handwriting recognition based on substroke HMM

This paper discusses the use of pen pressure as a feature in writer-independent on-line handwriting recognition. We propose two kinds of features related to pen pressure: one is the pressure representing pen ups and downs in a continuous manner; the other is the time-derivative of the pressure representing the temporal pattern of the pen pressure. Combining either of them with the existing feature (velocity vector), a 3-dimensional feature is composed for character recognition. Some techniques of interpolating the pen pressure during the pen-up interval is also proposed for a pre-processing purpose. Through experimental evaluation using 1,016 elementary Kanji characters compared with the baseline performance using velocity vector only, the additional use of pen pressure improved the performance from 97.5% to 98.1% for careful writings and from 91.1% to 93.1% for cursive writings

Signature Identification in the Light of Science and Experience

The Daubert case encourages judges to ask whether forensic identification expertise is valid, not merely whether it is accepted among practitioners. The example of DNA has shown what real science can do, and has highlighted the shortcomings of other forms of forensic science. The combined effect of Daubert and DNA has contributed to skepticism about forensic identification techniques. This skepticism may lead to exclusion of evidence or to procedural limits aimed at making the expertise more trustworthy or preventing it from having undue weight. I will discuss these two alternatives in the context of the specific forensic problem of signature authentication expertise of forensic document examiners (FDEs), after first considering general principles applicable to experience-based expertise

Selling Kawaii in Advertising: Testing Cross-Cultural Perceptions of Kawaii Appeals

Kawaii (cute) culture has become a major global consumer culture. Advertisers in Asia have adopted kawaii appeals to attract attention and promote product images. From a cultural value perspective, this literature review proposes that culture not only affects ad content and appeal, but also influences consumer attitude and ad effects. While kawaii appeals are culturally specified, the effects of those appeals across distinct cultures might be systemically predictable. Today, the concept of kawaii and its effects still remains vague to Western academia. This thesis provides a deeper understanding of kawaii examining the rich origin of kawaii culture in Japan and its expansion and globalization as a dominant consumer culture. Online surveys using specifically designed stimuli were administrated to respondents from both individualistic and collectivistic cultures. The thesis thus develops a theoretical definition for kawaii within the advertising appeal context and a measurement scheme for utilizing its multidimensional composite constructs. Based on the self-congruity hypothesis, it is argued that culturally shaped self-construals affect responses to ads employing kawaii appeals. Kawaii appeals which stress interdependence should be more persuasive among consumers with self-construals congruent with the message. Findings suggested that kawaii appeals were perceived to be friendlier in both United States and China, while consumers with domain interdependent self-construal expressed stronger self-brand connection, more favorable ad attitude and purchase intention toward the kawaii ads