Multiple-agents to identify and separate touching digits in unconstrained handwritten Hindi numerals

Alhajj, R
Polat, Faruk
This paper presents a multiagent-based approach to the identification and recognition of touching in free handwritten Hindi numerals. We do not restrict our domain to touching pairs; rather, we consider numerals with arbitrary number of digits. Two agents are presented in this paper. The first agent works directly on the scanned image of the original handwritten number. It locates possible touching based on the thickness of handwriting. The other agent works on the thinned image. It segments the image into four categories of segments and tries to locate possible touching based on the rules that govern the connection of segments to form digits. After each of the two agents applies its own rules and investigates candidate possible touching cases, and to increase touching recognition rate, the two agents negotiate and try to agree on the actual touching cases. The experiments conducted so far are promising and successful. The obtained results are very encouraging with a success factor of 92.7%.


Improving reinforcement learning by using sequence trees
Girgin, Sertan; Polat, Faruk; Alhajj, Reda (Springer Science and Business Media LLC, 2010-12-01)
This paper proposes a novel approach to discover options in the form of stochastic conditionally terminating sequences; it shows how such sequences can be integrated into the reinforcement learning framework to improve the learning performance. The method utilizes stored histories of possible optimal policies and constructs a specialized tree structure during the learning process. The constructed tree facilitates the process of identifying frequently used action sequences together with states that are visit...
Steering self-organized robot flocks through externally guided individuals
Celikkanat, Hande; Şahin, Erol (Springer Science and Business Media LLC, 2010-09-01)
In this paper, we study how a self-organized mobile robot flock can be steered toward a desired direction through externally guiding some of its members. Specifically, we propose a behavior by extending a previously developed flocking behavior to steer self-organized flocks in both physical and simulated mobile robots. We quantitatively measure the performance of the proposed behavior under different parameter settings using three metrics, namely, (1) the mutual information metric, adopted from Information ...
One-dimensional representation of two-dimensional information for HMM based handwriting recognition
Arica, N; Yarman Vural, Fatoş Tunay (Elsevier BV, 2000-06-01)
In this study, we introduce a one-dimensional feature set, which embeds two-dimensional information into an observation sequence of one-dimensional string, selected from a code-book. It provides a consistent normalization among distinct classes of shapes, which is very convenient for Hidden Markov Model (HMM) based shape recognition schemes. The normalization parameters, which maximize the recognition rate, are dynamically estimated in the training stage of HMM. The proposed recognition system is tested on ...
Coupling speech recognition and rule-based machine translation
Köprü, Selçuk; Yazıcı, Adnan; Department of Computer Engineering (2008)
The objective of this thesis was to study the coupling of automatic speech recognition (ASR) systems with rule-based machine translation (MT) systems. In this thesis, a unique approach to integrating ASR with MT for speech translation (ST) tasks was proposed. The proposed approach is unique, essentially because it includes the rst rule-based MT system that can process speech data in a word graph format. Compared to other rule-based MT systems, our system processes both a word graph and a stream of words. Th...
Natural resonance-based feature extraction with reduced aspect sensitivity for electromagnetic target classification
Sayan, Gönül (Elsevier BV, 2003-07-01)
This paper presents a model-based electromagnetic feature extraction technique that makes use of time–frequency analysis to extract natural resonance-related target features from scattered signals. In this technique, the discrete auto-Wigner distribution of a given signal is processed to obtain a partitioned energy density vector with a significantly reduced sensitivity to aspect angle. Each partition of this vector contains, in the approximate sense, spectral distribution of the signal energy confined to a...
Citation Formats
R. Alhajj and F. Polat, “Multiple-agents to identify and separate touching digits in unconstrained handwritten Hindi numerals,” JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, pp. 461–471, 2003, Accessed: 00, 2020. [Online]. Available: