نتایج جستجو برای: handwriting recognition

تعداد نتایج: 253443  

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

Principal components analysis is a well-known statistical method in dealing with large dependent data sets. It is also used in functional data for both purposes of data reduction as well as variation representation. On the other hand "handwriting" is one of the objects, studied in various statistical fields like pattern recognition and shape analysis. Considering time as the argument,...

2015
Pooja Yadav Nidhika Yadav Kai Ding Zhibin Liu Lianwen Jin Xinghua Zhu F. M Kimura M. Shridhar

Handwriting recognition has been an active and challenging area of research. Handwriting recognition system plays a very important role in today's world. Handwriting recognition is very popular and computationally expensive work. At present time it is very difficult to find correct meaning of handwritten documents. There are many areas where we need to recognize the words, alphabets and di...

2008
Brijesh Verma Michael Blumenstein

Cursive handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, postal address recognition, reading machines for the blind, bank check recognition, and interpretation of historical documents. Therefore, in the last few decades, researchers have put an enormous effort into developing various techniques for handwriting recog...

Journal: :Lecture Notes in Computer Science 2021

This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting (HWR). An ideal transcription agent would rival or surpass human perception, being able recognize known and new characters image, detect any stylistic changes that may occur within across documents. A key confound is presence novelty, which has continued stymie even best machine lea...

2013
Kamel Ait-Mohand Thierry Paquet

In this paper, we present the Arabic handwriting recognition system that was submitted to the 2013 NIST Open Handwriting Recognition and Translation Evaluation (OpenHaRT 2013). Our baseline recognition system is based on Hidden Markov Models and we also propose a lattice-based framework to combine the outputs from several different recognition engines. Keywords—Document recognition, Arabic hand...

Journal: :International Journal on Document Analysis and Recognition 2022

2004
Todd Cochrane

The Tablet PC version of Microsoft’s Windows XP operating system includes components that recognise handwriting. The data structures and objects used to store handwriting in Tablet PCs are called “ink”. The recognition of handwriting appears to be quite slow. A technical introduction to ink and the definition of the interfaces that allow the creation of purpose built handwriting recognition mod...

1998
B. VERMA M. BLUMENSTEIN

This paper reviews the current state of the art in handwriting recognition research. The paper deals with issues such as hand-printed character and cursive handwritten word recognition. It describes recent achievements, difficulties, successes and challenges in all aspects of handwriting recognition. It also presents a new approach which dramatically improves current handwriting recognition sys...

Journal: :International Journal of Scientific Research in Computer Science and Engineering 2018

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