Multi-stream Markov Models for Arabic Handwriting Recognition

2012 ◽  
pp. 335-350
Author(s):  
Yousri Kessentini ◽  
Thierry Paquet ◽  
AbdelMajid Ben Hamadou
Keyword(s):  
Markov Models ◽  
Handwriting Recognition

Histogram of Marked Background (HMB) Feature Extraction Method for Arabic Handwriting Recognition

2021 ◽  
pp. 2250015
Author(s):  
Meriem Gagaoua ◽  
Hamza Ghilas ◽  
Abdelkamel Tari ◽  
Mohamed Cheriet
Keyword(s):  
Extraction Method ◽  
Markov Models ◽  
Hidden Markov ◽  
Handwriting Recognition ◽  
Features Extraction ◽  
Complex Nature ◽  
Ibn Sina ◽  
Feature Extraction Method ◽  
Recognition Systems ◽  
Background Pixel

Features extraction is one of the most important steps in handwriting recognition systems. In this paper, we propose a novel features extraction method, which is adapted to the complex nature of Arabic handwriting. The proposed feature called histogram of marked background (HMB) is not considering only ink pixels in a text image, but also uses the background of the image. Each background pixel in the text image was marked according to the repartition of ink pixels in its neighborhood. Feature vectors are extracted by computing histograms from the marked images. Hidden Markov models (HMMs) with Hidden Markov model toolkit (HTK) were used in the recognition process. The experiments were performed on two datasets: IBN SINA database of historical Arabic documents and Isolated Farsi Handwritten Character Database (IFHCDB). The proposed feature in this study produced efficient and promising results for Arabic handwriting recognition, for both isolated characters and for historical documents.

Off-line cursive handwriting recognition using hidden markov models

1995 ◽  
Vol 28 (9) ◽  
pp. 1399-1413 ◽  
Author(s):  
H. Bunke ◽  
M. Roth ◽  
E.G. Schukat-Talamazzini
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Handwriting Recognition ◽  
Cursive Handwriting

Markov Models for Handwriting Recognition

2011 ◽  
Author(s):  
Thomas Plötz ◽  
Gernot A. Fink
Keyword(s):  
Markov Models ◽  
Handwriting Recognition
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