Sentence examples for writer recognition from inspiring English sources

In this paper, we dealt with the writer recognition problem.

As mentioned before, the writer recognition problem can be seen as a biometric problem.

The number of studies related to writer recognition has significantly increased during the last decade.

CVL [27] is a database of handwritten samples supporting handwriting recognition, word spotting and writer recognition.

These aspects will constitute the focus of our future research on writer recognition.

Writer recognition from short handwritten texts is therefore an interesting area of study.

Handwriting offers a number of interesting pattern classification problems including handwriting recognition, writer identification, signature verification, writer demographics classification and script recognition, etc. Research in these and similar related problems requires the availability of handwritten samples for validation of the developed techniques and algorithms.

The IAM Handwriting Database [2, 3] comprises handwritten samples in English which can be used to evaluate systems like text segmentation, handwriting recognition, writer identification and writer verification.

We evaluate these features for different applications from four different perspectives to understand handwritten documents beyond OCR (optical character reognition), by writer identification, script recognition, historical manuscript dating and localization.

The database can be employed for handwriting recognition and writer identification tasks.

Like Arabic handwriting recognition, the writer identification systems targeting Arabic handwritings mostly employ the IFN/ENIT database.