Application of VLSI to Pattern Recognition and Image Processing

Young, Tzay Y.; Liu, Philip S.; Liu, Hsi-Ho

doi:10.1016/b978-0-12-234100-7.50053-8

Cited by 25 publications

(34 citation statements)

References 2 publications

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“…Although a lot of research work is available, most of it is on English alphabets and numerals which can be enclosed in standard rectangular structures [11][12][13]. Sufficient work has been done for the recognition of Chinese characters, Korean characters, Japanese characters [14][15].…”

Section: Kannada Ocr Systemmentioning

confidence: 99%

Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents

Patil¹

2011

IJCA

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The paper presents the Neural Network based Bilingual OCR system which can read printed document images, written in two scripts of English and Kannada languages. Such systems are highly preferred in automation of multi-script, multi lingual document processing. The developed system includes document image pre-processor, dynamic feature extractor, neural network based script classifier, Kannada character recognition system and English character recognition system. Document image pre-processor, accepts the bilingual document image and performs grey to two tone conversion, segmentation into lines and words. Dynamic feature extractor extracts distinctive equal number of features from each separated word irrespective of size of the word. These features are accepted by probabilistic neural classifier and are sorted by script, Kannada and Roman. Developed Kannada character recognition system accepts these words and further segments each word into characters and maps the recognized characters into corresponding ASCII values of the chosen Kannada font. Similarly specifically developed English character recognition system, segments English words into characters and maps to corresponding ASCII value of the specific English font. Thus recognized English and Kannada characters are written into separate ASCII files language wise. The results are exciting and proved the effectiveness of the approach.

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Section: Kannada Ocr Systemmentioning

confidence: 99%

Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents

Patil¹

2011

IJCA

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“…The second-derivative methods overcome this problem because they can determine whether a pixel lies on the dark or the light side of an edge, and therefore edge detection is accomplished by determination of the locations of zero crossings. 3 The second-derivative function is often realized by the Laplacian operator:…”

Section: Introductionmentioning

confidence: 99%

Image edge enhancement with two cascaded acousto-optic cells with contrapropagating sound

1998

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Basic real-time programmable image-processing operations are accomplished by use of acousto-optic ͑AO͒ cells. Instead of frequency-plane filters, the AO cells are placed directly behind the object. The onedimensional edge-enhancement results with one AO cell can be improved by use of two AO cells that are placed in tandem with contrapropagating sound. The dominant second-derivative operation obtained from the transfer function of the undiffracted order works like a one-dimensional Laplacian operator that enables improved edge enhancement.

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“…The patterns differ depending on the application. In the case where the database is small, a sequential exhaustive search can solve the problem [76]. But as the applications grow and the necessity of universal database arrives, such sequential search algorithms fail to meet the timing and memory constraints.…”

Section: Designed Combinational Neural Network Architecturementioning

confidence: 99%

Field Programmable Gate Array Based Target Detection and Gesture Recognition

Mekala¹

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Application of VLSI to Pattern Recognition and Image Processing

Cited by 25 publications

References 2 publications

Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents

Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents

Image edge enhancement with two cascaded acousto-optic cells with contrapropagating sound

Field Programmable Gate Array Based Target Detection and Gesture Recognition

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