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An automatic approach for line detection and removal without smash-up characters
Abstract In composite document image, handwritten and printed text is often found to be overlapped with printed lines. The problem becomes critical for obscure and broken lines at multiple positions.Expand
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Region-based touched character segmentation in handwritten words
This paper presents an intelligent technique for segmentation of off-line cursive handwritten words particularly on touching characters problem. In this study, Self Organizing Feature Maps (SOM) isExpand
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DWT+LSB-based fragile watermarking method for digital Quran images
In this digital era, the authenticity of digital documents can be doubtful because it may suffer from tampering activity. Looking into Muslim community, the most important book/scripture is the HolyExpand
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Self Organizing Features Map with Improved Segmentation to Identify Touching of Adjacent Characters in Handwritten Words
This paper presents an intelligent technique for segmentation of off-line cursive handwritten words particularly on touching characters problem. In this study, Self Organizing Feature Maps (SOM) isExpand
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Authentication and Tamper Detection of Digital Holy Quran Images
This paper introduces a novel fragile watermarking method for digital Quran image authentication and tamper identification. The presented scheme utilizes discrete wavelet transform (DWT) and canExpand
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An automated approach to remove line from text bypassing restoration stage
In composite document image, handwritten and printed text is often found to be overlapped with printed lines. The problem becomes critical for obscure and broken lines at multiple positions.Expand
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Ear biometrics for human classification based on region features mining
This paper presents an ear biometric approach to classify humans. Accordingly an improved local features extraction technique based on ear region features is proposed. Accordingly, ear image isExpand
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From contours to characters segmentation of cursive handwritten words with neural assistance
This paper presents a novel algorithm to resolve an open problem to correctly locating letter boundaries in off-line unconstrained cursive handwritten word images. The proposed algorithm is based onExpand
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Contour vs Non-Contour based Word Segmentation from Handwritten Text Lines- an Experimental Analysis
This paper compares contour based and noncontours based techniques for extracting words from unconstrained handwritten text lines. Proposed novel approach is based on contours of the words ratherExpand
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Performance Comparison between Contour-Based and Enhanced Heuristic-Based for Character Segmentation
This paper presents a performance comparison between the proposed segmentation method with the existing methods [17]. Generally, the heuristic segmentation of proposed approach namely contour-basedExpand
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