Online Recognition System for Handwritten Hindi Digits Based on Matching Alignment Algorithm

Abstract

Recently, online character recogniti gotten attention everywhere due to the raped screen devices industry. Furthermore, key devises become inapplicable to be included These reasons would open the gate for techniques which can enrich and enhan approaches. These online approaches can be u different texts like letters, digits, or symbols. online system for recognizing handwritten highlighted based on matching alignment algor every phase of the system in details which are preprocessing, features extraction, and recog dataset of the system were collected by 50 wr screen laptop with 50 sample of each digit. Th the proposed system showed a high accur average of 96%.

Online handwriting Arabic recognition system using k-nearest neighbors classifier and DCT features

“…The data acquisition phase is the first step of the pattern recognition system [16,17]. It is used for feeding raw data to be used in subsequent phases to train and test the proposed system [18]. For this phase, a sample of 2500 words were obtained using a software interface to convert each handwritten word to coordinates (x, y) of pen trajectory.…”

A Global Online Handwriting Recognition Approach Based on Frequent Patterns

“…In addition, interpolation is used to recover missing pixels and detect sharp points to complete the relevant characteristics of the character. These techniques are further investigated in [8][9][10]. However, authors do not take into account the case where some brackets and other delated data in the preprocessing step may belong to the specific characteristics of the character.…”