Human identification by handwriting of identity text - Revision history

Slawek at 17:25, 8 September 2020

2020-09-08T17:25:50Z

Josef at 13:19, 27 September 2019

2019-09-27T13:19:35Z

Josef at 14:54, 15 October 2018

2018-10-15T14:54:30Z

Josef at 14:53, 15 October 2018

2018-10-15T14:53:33Z

Josef at 13:35, 7 November 2016

2016-11-07T13:35:34Z

10.0.2.2: Created page with "{{StudentProjectTemplate |Title=Human identification by repeated hand-writing |Summary=Identify the author of a hand-writing when repeated identity relevant text is availab..."

2014-03-07T11:46:52Z

Created page with "{{StudentProjectTemplate |Title=Human identification by repeated hand-writing |Summary=Identify the author of a hand-writing when repeated identity relevant text is availab..."

New page

{{StudentProjectTemplate
|Title=Human identification by repeated hand-writing
|Summary=Identify the author of a hand-writing when repeated identity relevant text is available
|Supervisor=Josef Bigun,
|Level=Master
|Status=Open
}}
Humans have been using hand-writting on paper or similar media to convey all sorts of information since time immemorial. A text type that we produce frequently is identitification text which contains identitity relevant information, e.g. name, date of birth, city of birth, city of residence, etc. Because we produce such text often, we write them with greater confidence and speed than other text, suggesting that there is more significant identity unique information in them, even if the text is analyzed offline. Additionally, some portions of such hand-written information are deliberately identity-unique, e.g. signature.

The need is among others caused by legal requirements. For example there can be thousands of participants who will simultaneously take a multiple choice exam, quiz, and each participant must enter her/his identity information and/or signature by hand on the response-forms.

The project will work with the quiz scenario in mind, i.e. the participants are students who take quizes at different times and for different courses. They will enter the same/similar identity information by hand-writing on answer forms. The order of incoming response-forms to the recognition system is random, because at each quiz the students sit at different places, and not all take the same quizes, etc. However, the number of persons taking the quiz is limited, e.g. the students of a school taking different courses.

The purpose of the project is to extract identity relevant information from repeated instances of text entered by hand-writting automatically using image processing techniques. The first goal is to tell which quizes are hand-written by the same student. The secondary goal is to extract the explicit identity of each student.

@@ Line 1: / Line 1: @@
 {{StudentProjectTemplate
 |Summary=Identify  a hand writer when repeated  identity relevant text is available
 |Prerequisites=Image Analysis
 |Supervisor=Josef Bigun, Fernando Alonso-Fernandez
@@ Line 7: / Line 8: @@
 |Title=Human identification by repeated hand-writing
 }}
-Goal: to extract identity relevant information from repeated instances of text entered by hand-writting automatically using image processing.
+Goal: to extract identity relevant information from repeated instances of text entered by hand-written block-letters.
 The project will work with the quiz scenario in mind, i.e. the participants are students who take quizes. A student will typically take several quizes and  will enter the same or similar identity information by hand-writing on answer forms. The order of incoming response-forms  is random, because at each quiz the students sit at different places, and not all take the same quizes.  The number of persons taking the quiz is limited, e.g. the students of a school taking different courses.
 The first mile-stone is to tell which quizes are hand-written by the same student. A second mile-stone is to extract the explicit identity of each student.

@@ Line 2: / Line 2: @@
 |Summary=Identify  a hand writer when repeated  identity relevant text is available
 |Prerequisites=Image Analysis
-|Supervisor=Josef Bigun,
+|Supervisor=Josef Bigun, Fernando Alonso-Fernandez
 |Level=Master
 |Status=Open