Showing papers by "Ching Y. Suen published in 2006"
11 Sep 2006
TL;DR: The experimental results show that compared to original PSO, the GBPSO model can reach broader domains in the search space and converge faster in very high dimensional and complex environments.
Abstract: In this paper, a genetic binary particle swarm optimization (GBPSO) model is proposed, and its performance is compared with the regular binary particle swarm optimizer (PSO), introduced by Kennedy and Eberhart. In the original model, the size of the swarm was fixed. In our model, we introduce birth and death operations in order to make the population very dynamic. Since birth and mortality rates change naturally with time, our model allows oscillations in the size of the population. Compared to the original PSO model, and genetic algorithms, our strategy proposes a more natural simulation of the social behavior of intelligent animals. The experimental results show that compared to original PSO, our GBPSO model can reach broader domains in the search space and converge faster in very high dimensional and complex environments.
54 citations
Proceedings Article•
23 Oct 2006
TL;DR: An important step towards the standardization of the research on Optical Character Recognition (OCR) in Farsi language is described, which describes formations of novel and standard handwritten databases including isolated digits, letters, numerical strings, Legal amounts, and dates.
Abstract: This paper describes an important step towards the standardization of the research on Optical Character Recognition (OCR) in Farsi language. It describes formations of novel and standard handwritten databases including isolated digits, letters, numerical strings, Legal amounts (used for cheques), and dates. Despite conventional research and an Internet search, no publicly accessible Farsi database was found. Hence, it was decided that it would be a worthwhile academic effort to create several Farsi databases that could stand on their own merit functioning as useful tools for OCR researchers. Also, in order to show the potential uses of our new databases we also conducted some experiments on the recognition of handwritten isolated Farsi digits.
47 citations
TL;DR: This paper presents a novel method to recognize Chinese fonts based on empirical mode decomposition (EMD), the first attempt to apply the new theory of Hilbert-Huang transform to document analysis and recognition.
40 citations
27 Sep 2006
TL;DR: The history of the Persian (Farsi) script, as well as the development of different writing styles for the current Persian script, are presented and the Arabic alphabet adopted and evolved for writing the Persian language is addressed.
Abstract: This paper presents the history of the Persian (Farsi) script, as well as the development of different writing styles for the current Persian script. It also addresses the Arabic alphabet adopted and evolved for writing the Persian language as well as different writing styles. This evolution includes further extensions to the Arabic alphabet and altered shapes of some Arabic letters. The differences between current Arabic and Persian handwritings for automated recognition purposes are discussed. A short review on techniques in Persian script recognition is presented, and the shortcomings and challenges in this area are highlighted.
10 citations
13 Feb 2006
TL;DR: A gray-scale thinning algorithm based on local min/max operations that can be also applied to an unsegmented image in which objects are not specified is newly proposed.
Abstract: A gray-scale thinning algorithm based on local min/max operations is newly proposed. Erosion and dilation properties of local min/max operations create new ridges from the given image. Thus grey scale skeletons can be effectively obtained by accumulating such ridges. The proposed method is quite salient because it can be also applied to an unsegmented image in which objects are not specified.
4 citations