نتایج جستجو برای: characters

تعداد نتایج: 42988  

Journal: :Genetics 2003
H S Jennings

POPULATIONS ........................................... ...... 419 Constitution; variation ; correlation of characters. . . . . . . . . . . . . . . . . . . . 419 Distribution of the variations.. .................................... 423 Number of spines, p. 424; diameter of the shell, p. 4 2 5 ; depth of the shell, p. 426; diameter of the mouth, p. 427; number of teeth, p. 427; length of the lon...

2017
Anuj Sharma Kalpana Dahiya

This paper presents a system to recognize online handwritten Gurmukhi and Devanagiri characters in touch screen based mobile phones. We have used small line segments (derived from elastic matching and chain code techniques) to recognize Gurmukhi and Devanagiri characters. Mobile phones offer main challenges as: less memory and slow processer speed in comparison to Desktop or notebooks or Tablet...

2012
Anuj Sharma Kalpana Dahiya

This paper presents a system to recognize online handwritten Gurmukhi and Devanagiri characters in touch screen based mobile phones. We have used small line segments (derived from elastic matching and chain code techniques) to recognize Gurmukhi and Devanagiri characters. Mobile phones offer main challenges as: less memory and slow processer speed in comparison to Desktop or notebooks or Tablet...

2007
Chia-Ying Lee Jie-Li Tsai Wen-Hsuan Chan Chun-Hsien Hsu Daisy L. Hung Ovid J.L. Tzeng

This study aimed to explore the temporal dynamics of the consistency e¡ect in reading Chinese phonograms. Highconsistency and low-consistency characters were used in the homophone judgment task, and the event-related potentials were recorded. The data showed that low-consistency characters elicited greater N170 amplitude in the temporal^ occipital region and greater P200 amplitude in the fronta...

2003
Harish K. Kashyap Bansilal P. Arun Koushik

Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simpler as there are only 26 letters and each letter is quite distinct from others compared to recognition of Indian language characters. Indian language characters have a base character along with vowels attached, forming s...

2016
Hyunjung Lee Allard Jongman

Although the segmental properties of Kyungsang Korean have been known to be distinct from those of standard Seoul Korean, the increased influence of Seoul Korean on the regional variety casts doubt on the homogeneity of the dialect. The current study investigated whether the acoustic properties of the vowels and fricatives in Kyungsang Korean are retained by both younger and older generations t...

Journal: :NHM 2016
Laura Caravenna Laura V. Spinolo

We establish new interaction estimates for a system introduced by Baiti and Jenssen. These estimates are pivotal to the analysis of the wave front-tracking approximation. In a companion paper we use them to construct a counter-example which shows that Schaeffer’s Regularity Theorem for scalar conservation laws does not extend to systems. The counter-example we construct shows, furthermore, that...

2002
Da-Wei Juang Yuen-Hsien Tseng

This paper reports on our work at the third NTCIR workshop on the subtasks of Chinese, Japanese, and Korean monolingual information retrieval (IR). A Chinese IR system is applied to all document sets in these three languages. Based on the n-gram indexing model and a phrase formulation method to extract longer key terms for indexing, no language-dependent modifications were made to apply the sys...

2008
R. M. Suresh

In this paper various Handwritten Tamil characters are classified as one among the prototype characters using a feature called distance from the frame and a suitable membership function. The unknown and prototype characters are preprocessed and considered for recognition. The algorithm is tested for about 2500 samples of Tamil characters and the success rate obtained varies from 76% to 94%.

2005
Manish Kumar Jindal Gurpreet Singh Lehal Rajendra Kumar Sharma

Character segmentation is an important preprocessing step for text recognition. In degraded documents, existence of touching characters decreases recognition rate drastically, for any optical character recognition (OCR) system. In this paper a study of touching Gurmukhi characters is carried out and these characters have been divided into various categories after a careful analysis. Structural ...

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