Showing papers by "Sri Ramakrishna Engineering College published in 2004"
24 Aug 2004
TL;DR: Two new approaches for segmenting and recognizing license plate are described, one of which exploits the fact that edges are most densely found in the region that contains the license plate and the other uses a hybrid neural network.
Abstract: In this paper, we describe two new approaches for segmenting and recognizing license plate. The first method exploits the fact that edges are most densely found in the region that contains the license plate. We have proposed a weight allocation scheme which segments the region with the most dense edges. The second method uses a hybrid neural network which we propose. The efficiency of the license plate recognition systems using the proposed methods have been studied.
22 citations
27 Jun 2004
TL;DR: An ASIC implementation of a new methodology which uses a hybrid neural network in conjunction with the weight based density map technique for the license plate localization, which has produced higher recognition rates.
Abstract: License plate recognition is one of the machine vision problem which has a wide range of practical applications. Various methodologies have been suggested with varying efficiencies. In this paper we propose an ASIC implementation of a new methodology which uses a hybrid neural network in conjunction with the weight based density map technique for the license plate localization. The combination of the two techniques, that have already been used individually, has produced higher recognition rates. Further the ASIC implementation means that the time complexity of the methodology can be completely ignored. The system design and the experimental results of the system have been discussed briefly.
18 citations
TL;DR: In this paper, the properties of octahedral bishydrazine metal glycolates and chloroacetates have been characterized by chemical analyses, magnetic moments, electronic and infrared spectra, and thermal analyses.
Abstract: Octahedral bis‐hydrazine metal glycolates and chloroacetates, [MX2(N2H4)2] n , where M = Co, Ni, or Zn for X = HOCH2COO and M = Mn, Co, Ni, Zn, or Cd for X = ClCH2COO have been prepared and characterised by chemical analyses, magnetic moments, electronic and infrared spectra, and thermal analyses (TG, DTG, and DTA). Infrared spectra show the presence of bridging bidentate (ν(N–N) = 970 cm−1) hydrazines and monodentate carboxylate ions. The thermal studies indicate that the glycolate complexes decompose at lower temperatures (60–450 °C) than the chloroacetates which decompose in the temperature range 100–600 °C. The x‐ray powder diffraction lines imply that the compounds in each series of complexes are isomorphous with each other. However, there appears to be no similarity in the x‐ray powder diffraction pattern between the two series of complexes.
3 citations